include latex tables and rename script to create them
Browse files- bootstrap_confidence_intervals_Macro_F1_table.txt +61 -0
- bootstrap_confidence_intervals_QWK_table.txt +61 -0
- bootstrap_confidence_intervals_Weighted_F1_table.txt +61 -0
- create_latex_evaluation_results.py → create_latex_tables.py +114 -15
- evaluation_table_avg_only.txt +60 -0
- evaluation_table_full.txt +150 -0
bootstrap_confidence_intervals_Macro_F1_table.txt
ADDED
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\begin{tabular}{c|c c| c c| c c| c c| c c}
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| 2 |
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\hline\hline
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| 3 |
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& \multicolumn{2}{c|}{\textbf{C1}} & \multicolumn{2}{c|}{\textbf{C2}} & \multicolumn{2}{c|}{\textbf{C3}} & \multicolumn{2}{c|}{\textbf{C4}} & \multicolumn{2}{c|}{\textbf{C5}} \\ \hline
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& F1-Macro$_{\text{-lower-bound}}$ & F1-Macro$_{\text{-upper-bound}}$ & F1-Macro$_{\text{-lower-bound}}$ & F1-Macro$_{\text{-upper-bound}}$ & F1-Macro$_{\text{-lower-bound}}$ & F1-Macro$_{\text{-upper-bound}}$ & F1-Macro$_{\text{-lower-bound}}$ & F1-Macro$_{\text{-upper-bound}}$ & F1-Macro$_{\text{-lower-bound}}$ & F1-Macro$_{\text{-upper-bound}}$ \\ \hline
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| 5 |
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deepseekR1-extractor-full\_context & 0.01 & 0.06 & 0.19 & 0.38 & 0.24 & 0.40 & 0.26 & 0.50 & 0.30 & 0.45 \\
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\hline
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deepseekR1-graderPrompt-essay\_only & 0.10 & 0.24 & 0.01 & 0.08 & 0.13 & 0.27 & 0.12 & 0.28 & 0.24 & 0.39 \\
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deepseekR1-graderPrompt-full\_context & 0.01 & 0.12 & 0.25 & 0.47 & 0.21 & 0.41 & 0.20 & 0.41 & 0.28 & 0.43 \\
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\hline
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| 10 |
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deepseekR1-studentPrompt-essay\_only & 0.05 & 0.17 & 0.10 & 0.20 & 0.23 & 0.41 & 0.15 & 0.40 & 0.30 & 0.44 \\
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deepseekR1-studentPrompt-full\_context & 0.02 & 0.07 & 0.19 & 0.40 & 0.33 & 0.57 & 0.13 & 0.32 & 0.29 & 0.48 \\
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\hline
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gpt4o-extractor-full\_context & 0.18 & 0.31 & 0.24 & 0.47 & 0.19 & 0.38 & 0.18 & 0.39 & 0.09 & 0.21 \\
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\hline
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gpt4o-graderPrompt-essay\_only & 0.15 & 0.27 & 0.11 & 0.29 & 0.14 & 0.26 & 0.16 & 0.39 & 0.25 & 0.39 \\
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gpt4o-graderPrompt-full\_context & 0.19 & 0.31 & 0.24 & 0.44 & 0.19 & 0.39 & 0.19 & 0.33 & 0.17 & 0.31 \\
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\hline
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gpt4o-studentPrompt-essay\_only & 0.15 & 0.29 & 0.12 & 0.23 & 0.18 & 0.34 & 0.17 & 0.42 & 0.23 & 0.35 \\
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gpt4o-studentPrompt-full\_context & 0.15 & 0.25 & 0.25 & 0.50 & 0.19 & 0.36 & 0.16 & 0.37 & 0.10 & 0.23 \\
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\hline
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sabia3-extractor-full\_context & 0.08 & 0.12 & 0.11 & 0.22 & 0.14 & 0.27 & 0.13 & 0.25 & 0.16 & 0.28 \\
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\hline
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sabia3-graderPrompt-essay\_only & 0.16 & 0.32 & 0.05 & 0.14 & 0.20 & 0.35 & 0.14 & 0.34 & 0.26 & 0.41 \\
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sabia3-graderPrompt-full\_context & 0.17 & 0.33 & 0.24 & 0.48 & 0.23 & 0.48 & 0.20 & 0.45 & 0.20 & 0.36 \\
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\hline
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sabia3-studentPrompt-essay\_only & 0.26 & 0.45 & 0.05 & 0.12 & 0.16 & 0.31 & 0.19 & 0.43 & 0.23 & 0.36 \\
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sabia3-studentPrompt-full\_context & 0.26 & 0.50 & 0.20 & 0.41 & 0.12 & 0.33 & 0.15 & 0.42 & 0.19 & 0.35 \\
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\hline\hline
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llama3.1-8b-lora-essay-only-r16 & 0.40 & 0.67 & 0.19 & 0.35 & 0.19 & 0.35 & 0.20 & 0.43 & 0.14 & 0.29 \\
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\hline
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llama3.1-8b-lora-essay-only-r8 & 0.36 & 0.64 & 0.11 & 0.23 & 0.18 & 0.35 & 0.18 & 0.31 & 0.19 & 0.35 \\
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\hline
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llama3.1-8b-lora-full-context-r16 & 0.38 & 0.64 & 0.14 & 0.32 & 0.16 & 0.32 & 0.18 & 0.34 & 0.15 & 0.37 \\
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\hline
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llama3.1-8b-lora-full-context-r8 & 0.30 & 0.53 & 0.15 & 0.31 & 0.17 & 0.34 & 0.26 & 0.55 & 0.11 & 0.33 \\
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\hline
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phi3.5-mini-lora-essay-only-r16 & 0.23 & 0.44 & 0.15 & 0.31 & 0.16 & 0.32 & 0.18 & 0.41 & 0.13 & 0.24 \\
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\hline
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phi3.5-mini-lora-essay-only-r8 & 0.23 & 0.44 & 0.15 & 0.31 & 0.16 & 0.32 & 0.18 & 0.41 & 0.13 & 0.24 \\
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\hline
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phi3.5-mini-lora-full-context-r16 & 0.13 & 0.25 & 0.09 & 0.20 & 0.21 & 0.37 & 0.08 & 0.15 & 0.10 & 0.28 \\
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\hline
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phi3.5-mini-lora-full-context-r8 & 0.13 & 0.25 & 0.09 & 0.20 & 0.21 & 0.37 & 0.08 & 0.15 & 0.10 & 0.28 \\
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\hline
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phi4-lora-essay-only-r16 & 0.40 & 0.67 & 0.14 & 0.29 & 0.18 & 0.33 & 0.25 & 0.52 & 0.30 & 0.45 \\
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\hline
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phi4-lora-essay-only-r8 & 0.37 & 0.64 & 0.21 & 0.39 & 0.18 & 0.32 & 0.19 & 0.42 & 0.36 & 0.51 \\
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\hline
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phi4-lora-full-context-r16 & 0.31 & 0.55 & 0.32 & 0.54 & 0.32 & 0.53 & 0.23 & 0.48 & 0.21 & 0.39 \\
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\hline
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phi4-lora-full-context-r8 & 0.36 & 0.61 & 0.31 & 0.54 & 0.27 & 0.48 & 0.24 & 0.48 & 0.23 & 0.37 \\
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\hline\hline
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bertimbau-base-essay-only & 0.30 & 0.54 & 0.18 & 0.36 & 0.16 & 0.31 & 0.25 & 0.52 & 0.24 & 0.38 \\
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\hline
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bertimbau-large-essay-only & 0.37 & 0.65 & 0.25 & 0.44 & 0.12 & 0.26 & 0.30 & 0.64 & 0.23 & 0.38 \\
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\hline
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bertugues-base-essay-only & 0.32 & 0.55 & 0.10 & 0.20 & 0.19 & 0.34 & 0.23 & 0.48 & 0.17 & 0.31 \\
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\hline
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mbert-base-essay-only & 0.29 & 0.50 & 0.14 & 0.26 & 0.17 & 0.32 & 0.23 & 0.50 & 0.05 & 0.11 \\
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\hline\hline
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\end{tabular}%
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bootstrap_confidence_intervals_QWK_table.txt
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\begin{tabular}{c|c c| c c| c c| c c| c c}
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| 2 |
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\hline\hline
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| 3 |
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& \multicolumn{2}{c|}{\textbf{C1}} & \multicolumn{2}{c|}{\textbf{C2}} & \multicolumn{2}{c|}{\textbf{C3}} & \multicolumn{2}{c|}{\textbf{C4}} & \multicolumn{2}{c|}{\textbf{C5}} \\ \hline
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| 4 |
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& QWK$_{\text{lower-bound}}$ & QWK$_{\text{upper-bound}}$ & QWK$_{\text{lower-bound}}$ & QWK$_{\text{upper-bound}}$ & QWK$_{\text{lower-bound}}$ & QWK$_{\text{upper-bound}}$ & QWK$_{\text{lower-bound}}$ & QWK$_{\text{upper-bound}}$ & QWK$_{\text{lower-bound}}$ & QWK$_{\text{upper-bound}}$ \\ \hline
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deepseekR1-extractor-full\_context & 0.15 & 0.26 & 0.39 & 0.63 & 0.40 & 0.64 & 0.45 & 0.66 & 0.48 & 0.73 \\
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| 6 |
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\hline
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| 7 |
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deepseekR1-graderPrompt-essay\_only & 0.36 & 0.51 & -0.01 & 0.08 & 0.23 & 0.54 & 0.37 & 0.56 & 0.40 & 0.68 \\
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| 8 |
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deepseekR1-graderPrompt-full\_context & 0.14 & 0.26 & 0.39 & 0.63 & 0.49 & 0.69 & 0.45 & 0.64 & 0.46 & 0.72 \\
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| 9 |
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\hline
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| 10 |
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deepseekR1-studentPrompt-essay\_only & 0.27 & 0.43 & -0.14 & 0.11 & 0.23 & 0.53 & 0.41 & 0.61 & 0.41 & 0.67 \\
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| 11 |
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deepseekR1-studentPrompt-full\_context & 0.27 & 0.43 & 0.30 & 0.53 & 0.65 & 0.80 & 0.39 & 0.58 & 0.45 & 0.69 \\
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| 12 |
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\hline
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| 13 |
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gpt4o-extractor-full\_context & 0.41 & 0.64 & 0.32 & 0.60 & 0.46 & 0.66 & 0.37 & 0.61 & 0.20 & 0.43 \\
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| 14 |
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\hline
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gpt4o-graderPrompt-essay\_only & 0.40 & 0.56 & 0.15 & 0.42 & 0.15 & 0.41 & 0.40 & 0.60 & 0.41 & 0.66 \\
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gpt4o-graderPrompt-full\_context & 0.47 & 0.63 & 0.43 & 0.68 & 0.32 & 0.56 & 0.39 & 0.60 & 0.33 & 0.61 \\
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\hline
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| 18 |
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gpt4o-studentPrompt-essay\_only & 0.43 & 0.58 & 0.05 & 0.34 & 0.24 & 0.51 & 0.40 & 0.60 & 0.41 & 0.67 \\
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gpt4o-studentPrompt-full\_context & 0.39 & 0.56 & 0.38 & 0.63 & 0.42 & 0.63 & 0.38 & 0.58 & 0.20 & 0.49 \\
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\hline
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sabia3-extractor-full\_context & 0.22 & 0.39 & 0.18 & 0.38 & 0.09 & 0.33 & 0.28 & 0.47 & 0.39 & 0.62 \\
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\hline
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sabia3-graderPrompt-essay\_only & 0.45 & 0.61 & 0.00 & 0.13 & 0.21 & 0.48 & 0.44 & 0.65 & 0.47 & 0.70 \\
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sabia3-graderPrompt-full\_context & 0.40 & 0.58 & 0.35 & 0.62 & 0.42 & 0.65 & 0.39 & 0.64 & 0.34 & 0.63 \\
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| 25 |
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\hline
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| 26 |
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sabia3-studentPrompt-essay\_only & 0.61 & 0.75 & -0.03 & 0.06 & 0.16 & 0.43 & 0.39 & 0.62 & 0.37 & 0.63 \\
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sabia3-studentPrompt-full\_context & 0.47 & 0.66 & 0.31 & 0.60 & 0.32 & 0.56 & 0.23 & 0.52 & 0.40 & 0.65 \\
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| 28 |
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\hline\hline
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| 29 |
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llama3.1-8b-lora-essay-only-r16 & 0.59 & 0.77 & 0.19 & 0.50 & 0.28 & 0.56 & 0.32 & 0.56 & 0.22 & 0.49 \\
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\hline
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llama3.1-8b-lora-essay-only-r8 & 0.54 & 0.74 & 0.16 & 0.46 & 0.21 & 0.51 & 0.26 & 0.51 & 0.12 & 0.46 \\
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\hline
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| 33 |
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llama3.1-8b-lora-full-context-r16 & 0.55 & 0.75 & 0.19 & 0.47 & 0.18 & 0.46 & 0.31 & 0.55 & 0.02 & 0.35 \\
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\hline
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llama3.1-8b-lora-full-context-r8 & 0.49 & 0.69 & 0.08 & 0.40 & 0.17 & 0.46 & 0.41 & 0.64 & 0.01 & 0.33 \\
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| 36 |
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\hline
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phi3.5-mini-lora-essay-only-r16 & 0.32 & 0.58 & 0.12 & 0.42 & 0.09 & 0.35 & 0.13 & 0.41 & 0.11 & 0.39 \\
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\hline
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phi3.5-mini-lora-essay-only-r8 & 0.32 & 0.58 & 0.12 & 0.42 & 0.09 & 0.35 & 0.13 & 0.41 & 0.11 & 0.39 \\
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\hline
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phi3.5-mini-lora-full-context-r16 & 0.16 & 0.38 & -0.18 & 0.14 & 0.30 & 0.57 & -0.00 & 0.17 & 0.03 & 0.34 \\
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\hline
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phi3.5-mini-lora-full-context-r8 & 0.16 & 0.38 & -0.18 & 0.14 & 0.30 & 0.57 & -0.00 & 0.17 & 0.03 & 0.34 \\
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\hline
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phi4-lora-essay-only-r16 & 0.60 & 0.78 & 0.06 & 0.36 & 0.27 & 0.55 & 0.47 & 0.68 & 0.54 & 0.75 \\
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\hline
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phi4-lora-essay-only-r8 & 0.57 & 0.75 & 0.18 & 0.47 & 0.17 & 0.48 & 0.35 & 0.60 & 0.46 & 0.70 \\
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| 48 |
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\hline
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phi4-lora-full-context-r16 & 0.51 & 0.70 & 0.47 & 0.71 & 0.53 & 0.76 & 0.49 & 0.68 & 0.40 & 0.64 \\
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\hline
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phi4-lora-full-context-r8 & 0.57 & 0.75 & 0.46 & 0.70 & 0.45 & 0.68 & 0.43 & 0.65 & 0.38 & 0.64 \\
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\hline\hline
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bertimbau-base-essay-only & 0.51 & 0.68 & 0.19 & 0.49 & 0.20 & 0.49 & 0.42 & 0.66 & 0.51 & 0.73 \\
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\hline
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bertimbau-large-essay-only & 0.59 & 0.77 & 0.14 & 0.47 & 0.09 & 0.39 & 0.47 & 0.71 & 0.33 & 0.58 \\
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\hline
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bertugues-base-essay-only & 0.52 & 0.70 & 0.19 & 0.46 & 0.12 & 0.44 & 0.42 & 0.64 & 0.22 & 0.49 \\
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\hline
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mbert-base-essay-only & 0.39 & 0.62 & 0.07 & 0.37 & 0.21 & 0.50 & 0.33 & 0.64 & -0.04 & 0.04 \\
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\hline\hline
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\end{tabular}%
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bootstrap_confidence_intervals_Weighted_F1_table.txt
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\begin{tabular}{c|c c| c c| c c| c c| c c}
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| 2 |
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\hline\hline
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| 3 |
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& \multicolumn{2}{c|}{\textbf{C1}} & \multicolumn{2}{c|}{\textbf{C2}} & \multicolumn{2}{c|}{\textbf{C3}} & \multicolumn{2}{c|}{\textbf{C4}} & \multicolumn{2}{c|}{\textbf{C5}} \\ \hline
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| 4 |
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& F1-Weighted$_{\text{-lower-bound}}$ & F1-Weighted$_{\text{-upper-bound}}$ & F1-Weighted$_{\text{-lower-bound}}$ & F1-Weighted$_{\text{-upper-bound}}$ & F1-Weighted$_{\text{-lower-bound}}$ & F1-Weighted$_{\text{-upper-bound}}$ & F1-Weighted$_{\text{-lower-bound}}$ & F1-Weighted$_{\text{-upper-bound}}$ & F1-Weighted$_{\text{-lower-bound}}$ & F1-Weighted$_{\text{-upper-bound}}$ \\ \hline
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deepseekR1-extractor-full\_context & 0.03 & 0.14 & 0.23 & 0.41 & 0.31 & 0.49 & 0.51 & 0.67 & 0.33 & 0.51 \\
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| 6 |
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\hline
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| 7 |
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deepseekR1-graderPrompt-essay\_only & 0.17 & 0.33 & 0.01 & 0.10 & 0.12 & 0.26 & 0.16 & 0.33 & 0.25 & 0.42 \\
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| 8 |
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deepseekR1-graderPrompt-full\_context & 0.01 & 0.11 & 0.31 & 0.50 & 0.22 & 0.37 & 0.37 & 0.54 & 0.28 & 0.46 \\
|
| 9 |
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\hline
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| 10 |
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deepseekR1-studentPrompt-essay\_only & 0.10 & 0.24 & 0.17 & 0.33 & 0.25 & 0.41 & 0.31 & 0.48 & 0.34 & 0.51 \\
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| 11 |
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deepseekR1-studentPrompt-full\_context & 0.02 & 0.11 & 0.26 & 0.44 & 0.38 & 0.55 & 0.28 & 0.45 & 0.32 & 0.49 \\
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| 12 |
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\hline
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| 13 |
+
gpt4o-extractor-full\_context & 0.44 & 0.63 & 0.32 & 0.49 & 0.20 & 0.36 & 0.36 & 0.53 & 0.09 & 0.22 \\
|
| 14 |
+
\hline
|
| 15 |
+
gpt4o-graderPrompt-essay\_only & 0.36 & 0.53 & 0.13 & 0.27 & 0.19 & 0.34 & 0.30 & 0.47 & 0.26 & 0.42 \\
|
| 16 |
+
gpt4o-graderPrompt-full\_context & 0.43 & 0.60 & 0.33 & 0.50 & 0.23 & 0.41 & 0.39 & 0.56 & 0.18 & 0.33 \\
|
| 17 |
+
\hline
|
| 18 |
+
gpt4o-studentPrompt-essay\_only & 0.34 & 0.51 & 0.18 & 0.34 & 0.21 & 0.37 & 0.31 & 0.48 & 0.22 & 0.38 \\
|
| 19 |
+
gpt4o-studentPrompt-full\_context & 0.34 & 0.51 & 0.33 & 0.50 & 0.22 & 0.37 & 0.28 & 0.45 & 0.12 & 0.26 \\
|
| 20 |
+
\hline
|
| 21 |
+
sabia3-extractor-full\_context & 0.18 & 0.34 & 0.14 & 0.29 & 0.19 & 0.36 & 0.29 & 0.47 & 0.15 & 0.31 \\
|
| 22 |
+
\hline
|
| 23 |
+
sabia3-graderPrompt-essay\_only & 0.33 & 0.50 & 0.06 & 0.18 & 0.25 & 0.41 & 0.35 & 0.53 & 0.29 & 0.46 \\
|
| 24 |
+
sabia3-graderPrompt-full\_context & 0.41 & 0.59 & 0.33 & 0.50 & 0.29 & 0.45 & 0.41 & 0.58 & 0.24 & 0.40 \\
|
| 25 |
+
\hline
|
| 26 |
+
sabia3-studentPrompt-essay\_only & 0.58 & 0.74 & 0.06 & 0.17 & 0.22 & 0.38 & 0.43 & 0.62 & 0.26 & 0.43 \\
|
| 27 |
+
sabia3-studentPrompt-full\_context & 0.51 & 0.69 & 0.32 & 0.49 & 0.15 & 0.30 & 0.34 & 0.53 & 0.20 & 0.36 \\
|
| 28 |
+
\hline\hline
|
| 29 |
+
llama3.1-8b-lora-essay-only-r16 & 0.58 & 0.74 & 0.27 & 0.43 & 0.20 & 0.36 & 0.37 & 0.54 & 0.15 & 0.28 \\
|
| 30 |
+
\hline
|
| 31 |
+
llama3.1-8b-lora-essay-only-r8 & 0.58 & 0.75 & 0.10 & 0.23 & 0.28 & 0.44 & 0.45 & 0.62 & 0.20 & 0.35 \\
|
| 32 |
+
\hline
|
| 33 |
+
llama3.1-8b-lora-full-context-r16 & 0.60 & 0.76 & 0.15 & 0.30 & 0.18 & 0.34 & 0.42 & 0.59 & 0.17 & 0.32 \\
|
| 34 |
+
\hline
|
| 35 |
+
llama3.1-8b-lora-full-context-r8 & 0.49 & 0.65 & 0.18 & 0.34 & 0.20 & 0.36 & 0.47 & 0.63 & 0.12 & 0.26 \\
|
| 36 |
+
\hline
|
| 37 |
+
phi3.5-mini-lora-essay-only-r16 & 0.31 & 0.49 & 0.16 & 0.31 & 0.20 & 0.36 & 0.41 & 0.59 & 0.17 & 0.31 \\
|
| 38 |
+
\hline
|
| 39 |
+
phi3.5-mini-lora-essay-only-r8 & 0.31 & 0.49 & 0.16 & 0.31 & 0.20 & 0.36 & 0.41 & 0.59 & 0.17 & 0.31 \\
|
| 40 |
+
\hline
|
| 41 |
+
phi3.5-mini-lora-full-context-r16 & 0.21 & 0.37 & 0.15 & 0.28 & 0.26 & 0.43 & 0.13 & 0.28 & 0.12 & 0.25 \\
|
| 42 |
+
\hline
|
| 43 |
+
phi3.5-mini-lora-full-context-r8 & 0.21 & 0.37 & 0.15 & 0.28 & 0.26 & 0.43 & 0.13 & 0.28 & 0.12 & 0.25 \\
|
| 44 |
+
\hline
|
| 45 |
+
phi4-lora-essay-only-r16 & 0.58 & 0.73 & 0.16 & 0.31 & 0.26 & 0.42 & 0.55 & 0.72 & 0.34 & 0.51 \\
|
| 46 |
+
\hline
|
| 47 |
+
phi4-lora-essay-only-r8 & 0.53 & 0.69 & 0.28 & 0.45 & 0.23 & 0.39 & 0.49 & 0.67 & 0.40 & 0.57 \\
|
| 48 |
+
\hline
|
| 49 |
+
phi4-lora-full-context-r16 & 0.49 & 0.66 & 0.41 & 0.59 & 0.39 & 0.56 & 0.42 & 0.59 & 0.24 & 0.40 \\
|
| 50 |
+
\hline
|
| 51 |
+
phi4-lora-full-context-r8 & 0.54 & 0.70 & 0.39 & 0.56 & 0.29 & 0.46 & 0.49 & 0.66 & 0.23 & 0.39 \\
|
| 52 |
+
\hline\hline
|
| 53 |
+
bertimbau-base-essay-only & 0.43 & 0.60 & 0.27 & 0.43 & 0.19 & 0.35 & 0.47 & 0.64 & 0.27 & 0.45 \\
|
| 54 |
+
\hline
|
| 55 |
+
bertimbau-large-essay-only & 0.61 & 0.77 & 0.33 & 0.49 & 0.18 & 0.33 & 0.52 & 0.68 & 0.27 & 0.45 \\
|
| 56 |
+
\hline
|
| 57 |
+
bertugues-base-essay-only & 0.48 & 0.64 & 0.12 & 0.25 & 0.27 & 0.43 & 0.42 & 0.59 & 0.19 & 0.35 \\
|
| 58 |
+
\hline
|
| 59 |
+
mbert-base-essay-only & 0.50 & 0.68 & 0.18 & 0.34 & 0.24 & 0.40 & 0.47 & 0.63 & 0.05 & 0.14 \\
|
| 60 |
+
\hline\hline
|
| 61 |
+
\end{tabular}%
|
create_latex_evaluation_results.py → create_latex_tables.py
RENAMED
|
@@ -17,8 +17,8 @@ class TableConfig:
|
|
| 17 |
latex_labels: Dict[str, str] # friendly_name -> latex_label
|
| 18 |
|
| 19 |
@classmethod
|
| 20 |
-
def
|
| 21 |
-
"""Create
|
| 22 |
return cls(
|
| 23 |
concepts=[f"C{i}" for i in range(1, 6)], # C1 through C5
|
| 24 |
metric_map={
|
|
@@ -32,6 +32,56 @@ class TableConfig:
|
|
| 32 |
"QWK": r"QWK",
|
| 33 |
}
|
| 34 |
)
|
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| 35 |
|
| 36 |
|
| 37 |
class ExperimentIdParser:
|
|
@@ -139,15 +189,18 @@ class DataProcessor:
|
|
| 139 |
"""
|
| 140 |
df = pd.read_parquet(file_path)
|
| 141 |
|
| 142 |
-
#
|
| 143 |
-
if
|
| 144 |
-
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
|
| 148 |
-
|
| 149 |
-
|
| 150 |
-
|
|
|
|
|
|
|
|
|
|
| 151 |
|
| 152 |
# Parse experiment IDs
|
| 153 |
base_ids, concepts = zip(*df["experiment_id"].map(self.parser.split_experiment_id))
|
|
@@ -222,14 +275,15 @@ class LaTeXTableGenerator:
|
|
| 222 |
lines = []
|
| 223 |
|
| 224 |
# Table opening with column specifications
|
| 225 |
-
|
|
|
|
| 226 |
lines.append(rf"\begin{{tabular}}{{{column_spec}}}")
|
| 227 |
lines.append(r"\hline\hline")
|
| 228 |
|
| 229 |
# First header row - concept names
|
| 230 |
concept_headers = [""]
|
| 231 |
for concept in self.config.concepts:
|
| 232 |
-
concept_headers.append(rf"\multicolumn{{
|
| 233 |
concept_headers[-1] = concept_headers[-1].rstrip("|")
|
| 234 |
lines.append(" & ".join(concept_headers) + r" \\ \hline")
|
| 235 |
|
|
@@ -288,8 +342,8 @@ class LaTeXTableGenerator:
|
|
| 288 |
|
| 289 |
def main():
|
| 290 |
"""Main entry point for the script."""
|
| 291 |
-
# Configuration
|
| 292 |
-
config = TableConfig.
|
| 293 |
input_file = Path("evaluation_results-00000-of-00001.parquet")
|
| 294 |
output_file_full = Path("evaluation_table_full.txt")
|
| 295 |
output_file_avg = Path("evaluation_table_avg_only.txt")
|
|
@@ -314,6 +368,51 @@ def main():
|
|
| 314 |
|
| 315 |
print(f"✅ Wrote {output_file_full} – full table with all metric groups")
|
| 316 |
print(f"✅ Wrote {output_file_avg} – filtered table with only avg(A,B) metric group")
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 317 |
|
| 318 |
|
| 319 |
if __name__ == "__main__":
|
|
|
|
| 17 |
latex_labels: Dict[str, str] # friendly_name -> latex_label
|
| 18 |
|
| 19 |
@classmethod
|
| 20 |
+
def evaluation_results(cls) -> TableConfig:
|
| 21 |
+
"""Create evaluation results configuration."""
|
| 22 |
return cls(
|
| 23 |
concepts=[f"C{i}" for i in range(1, 6)], # C1 through C5
|
| 24 |
metric_map={
|
|
|
|
| 32 |
"QWK": r"QWK",
|
| 33 |
}
|
| 34 |
)
|
| 35 |
+
|
| 36 |
+
@classmethod
|
| 37 |
+
def bootstrap(cls) -> TableConfig:
|
| 38 |
+
"""Create configuration for bootstrap confidence intervals."""
|
| 39 |
+
return cls(
|
| 40 |
+
concepts=[f"C{i}" for i in range(1, 6)], # C1 through C5
|
| 41 |
+
metric_map={
|
| 42 |
+
"QWK_lower": "QWK_lower_95ci",
|
| 43 |
+
"QWK_upper": "QWK_upper_95ci",
|
| 44 |
+
},
|
| 45 |
+
latex_labels={
|
| 46 |
+
"QWK_lower": r"QWK$_{\text{lower-bound}}$",
|
| 47 |
+
"QWK_upper": r"QWK$_{\text{upper-bound}}$",
|
| 48 |
+
}
|
| 49 |
+
)
|
| 50 |
+
|
| 51 |
+
@classmethod
|
| 52 |
+
def bootstrap_qwk(cls) -> TableConfig:
|
| 53 |
+
"""Create configuration for QWK bootstrap confidence intervals."""
|
| 54 |
+
return cls.bootstrap() # Alias for backward compatibility
|
| 55 |
+
|
| 56 |
+
@classmethod
|
| 57 |
+
def bootstrap_macro_f1(cls) -> TableConfig:
|
| 58 |
+
"""Create configuration for Macro F1 bootstrap confidence intervals."""
|
| 59 |
+
return cls(
|
| 60 |
+
concepts=[f"C{i}" for i in range(1, 6)], # C1 through C5
|
| 61 |
+
metric_map={
|
| 62 |
+
"F1_ma_lower": "Macro_F1_lower_95ci",
|
| 63 |
+
"F1_ma_upper": "Macro_F1_upper_95ci",
|
| 64 |
+
},
|
| 65 |
+
latex_labels={
|
| 66 |
+
"F1_ma_lower": r"F1-Macro$_{\text{-lower-bound}}$",
|
| 67 |
+
"F1_ma_upper": r"F1-Macro$_{\text{-upper-bound}}$",
|
| 68 |
+
}
|
| 69 |
+
)
|
| 70 |
+
|
| 71 |
+
@classmethod
|
| 72 |
+
def bootstrap_weighted_f1(cls) -> TableConfig:
|
| 73 |
+
"""Create configuration for Weighted F1 bootstrap confidence intervals."""
|
| 74 |
+
return cls(
|
| 75 |
+
concepts=[f"C{i}" for i in range(1, 6)], # C1 through C5
|
| 76 |
+
metric_map={
|
| 77 |
+
"F1_w_lower": "Weighted_F1_lower_95ci",
|
| 78 |
+
"F1_w_upper": "Weighted_F1_upper_95ci",
|
| 79 |
+
},
|
| 80 |
+
latex_labels={
|
| 81 |
+
"F1_w_lower": r"F1-Weighted$_{\text{-lower-bound}}$",
|
| 82 |
+
"F1_w_upper": r"F1-Weighted$_{\text{-upper-bound}}$",
|
| 83 |
+
}
|
| 84 |
+
)
|
| 85 |
|
| 86 |
|
| 87 |
class ExperimentIdParser:
|
|
|
|
| 189 |
"""
|
| 190 |
df = pd.read_parquet(file_path)
|
| 191 |
|
| 192 |
+
# Check if metric_group column exists
|
| 193 |
+
if "metric_group" in df.columns:
|
| 194 |
+
# Filter by metric_group if specified
|
| 195 |
+
if metric_group_filter:
|
| 196 |
+
df = df[df["metric_group"] == metric_group_filter].copy()
|
| 197 |
+
|
| 198 |
+
# Combine experiment_id with metric_group
|
| 199 |
+
df["experiment_id"] = df.apply(
|
| 200 |
+
lambda x: f"{x['experiment_id']}-{x['metric_group']}",
|
| 201 |
+
axis=1
|
| 202 |
+
)
|
| 203 |
+
# If no metric_group column, experiment_id remains unchanged (bootstrap case)
|
| 204 |
|
| 205 |
# Parse experiment IDs
|
| 206 |
base_ids, concepts = zip(*df["experiment_id"].map(self.parser.split_experiment_id))
|
|
|
|
| 275 |
lines = []
|
| 276 |
|
| 277 |
# Table opening with column specifications
|
| 278 |
+
num_metrics = len(self.config.metric_map)
|
| 279 |
+
column_spec = "c|" + " ".join([" ".join(["c"] * num_metrics) + "|" for _ in self.config.concepts[:-1]]) + " " + " ".join(["c"] * num_metrics)
|
| 280 |
lines.append(rf"\begin{{tabular}}{{{column_spec}}}")
|
| 281 |
lines.append(r"\hline\hline")
|
| 282 |
|
| 283 |
# First header row - concept names
|
| 284 |
concept_headers = [""]
|
| 285 |
for concept in self.config.concepts:
|
| 286 |
+
concept_headers.append(rf"\multicolumn{{{num_metrics}}}{{c|}}{{\textbf{{{concept}}}}}")
|
| 287 |
concept_headers[-1] = concept_headers[-1].rstrip("|")
|
| 288 |
lines.append(" & ".join(concept_headers) + r" \\ \hline")
|
| 289 |
|
|
|
|
| 342 |
|
| 343 |
def main():
|
| 344 |
"""Main entry point for the script."""
|
| 345 |
+
# Configuration for evaluation results
|
| 346 |
+
config = TableConfig.evaluation_results()
|
| 347 |
input_file = Path("evaluation_results-00000-of-00001.parquet")
|
| 348 |
output_file_full = Path("evaluation_table_full.txt")
|
| 349 |
output_file_avg = Path("evaluation_table_avg_only.txt")
|
|
|
|
| 368 |
|
| 369 |
print(f"✅ Wrote {output_file_full} – full table with all metric groups")
|
| 370 |
print(f"✅ Wrote {output_file_avg} – filtered table with only avg(A,B) metric group")
|
| 371 |
+
|
| 372 |
+
# Process bootstrap confidence intervals
|
| 373 |
+
input_file_bootstrap = Path("bootstrap_confidence_intervals-00000-of-00001.parquet")
|
| 374 |
+
|
| 375 |
+
# 1. QWK bootstrap confidence intervals
|
| 376 |
+
config_bootstrap_qwk = TableConfig.bootstrap_qwk()
|
| 377 |
+
output_file_bootstrap_qwk = Path("bootstrap_confidence_intervals_QWK_table.txt")
|
| 378 |
+
|
| 379 |
+
processor_bootstrap_qwk = DataProcessor(config_bootstrap_qwk)
|
| 380 |
+
df_bootstrap = processor_bootstrap_qwk.load_and_prepare_data(input_file_bootstrap)
|
| 381 |
+
pivot_data_bootstrap_qwk = processor_bootstrap_qwk.create_pivot_table(df_bootstrap)
|
| 382 |
+
|
| 383 |
+
generator_bootstrap_qwk = LaTeXTableGenerator(config_bootstrap_qwk)
|
| 384 |
+
latex_table_bootstrap_qwk = generator_bootstrap_qwk.generate_table(pivot_data_bootstrap_qwk)
|
| 385 |
+
|
| 386 |
+
output_file_bootstrap_qwk.write_text(latex_table_bootstrap_qwk, encoding="utf-8")
|
| 387 |
+
print(f"✅ Wrote {output_file_bootstrap_qwk} – QWK bootstrap confidence intervals table")
|
| 388 |
+
|
| 389 |
+
# 2. Macro F1 bootstrap confidence intervals
|
| 390 |
+
config_bootstrap_macro_f1 = TableConfig.bootstrap_macro_f1()
|
| 391 |
+
output_file_bootstrap_macro_f1 = Path("bootstrap_confidence_intervals_Macro_F1_table.txt")
|
| 392 |
+
|
| 393 |
+
processor_bootstrap_macro_f1 = DataProcessor(config_bootstrap_macro_f1)
|
| 394 |
+
# Reuse the already loaded dataframe
|
| 395 |
+
pivot_data_bootstrap_macro_f1 = processor_bootstrap_macro_f1.create_pivot_table(df_bootstrap)
|
| 396 |
+
|
| 397 |
+
generator_bootstrap_macro_f1 = LaTeXTableGenerator(config_bootstrap_macro_f1)
|
| 398 |
+
latex_table_bootstrap_macro_f1 = generator_bootstrap_macro_f1.generate_table(pivot_data_bootstrap_macro_f1)
|
| 399 |
+
|
| 400 |
+
output_file_bootstrap_macro_f1.write_text(latex_table_bootstrap_macro_f1, encoding="utf-8")
|
| 401 |
+
print(f"✅ Wrote {output_file_bootstrap_macro_f1} – Macro F1 bootstrap confidence intervals table")
|
| 402 |
+
|
| 403 |
+
# 3. Weighted F1 bootstrap confidence intervals
|
| 404 |
+
config_bootstrap_weighted_f1 = TableConfig.bootstrap_weighted_f1()
|
| 405 |
+
output_file_bootstrap_weighted_f1 = Path("bootstrap_confidence_intervals_Weighted_F1_table.txt")
|
| 406 |
+
|
| 407 |
+
processor_bootstrap_weighted_f1 = DataProcessor(config_bootstrap_weighted_f1)
|
| 408 |
+
# Reuse the already loaded dataframe
|
| 409 |
+
pivot_data_bootstrap_weighted_f1 = processor_bootstrap_weighted_f1.create_pivot_table(df_bootstrap)
|
| 410 |
+
|
| 411 |
+
generator_bootstrap_weighted_f1 = LaTeXTableGenerator(config_bootstrap_weighted_f1)
|
| 412 |
+
latex_table_bootstrap_weighted_f1 = generator_bootstrap_weighted_f1.generate_table(pivot_data_bootstrap_weighted_f1)
|
| 413 |
+
|
| 414 |
+
output_file_bootstrap_weighted_f1.write_text(latex_table_bootstrap_weighted_f1, encoding="utf-8")
|
| 415 |
+
print(f"✅ Wrote {output_file_bootstrap_weighted_f1} – Weighted F1 bootstrap confidence intervals table")
|
| 416 |
|
| 417 |
|
| 418 |
if __name__ == "__main__":
|
evaluation_table_avg_only.txt
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
| 1 |
+
\begin{tabular}{c|c c c| c c c| c c c| c c c| c c c}
|
| 2 |
+
\hline\hline
|
| 3 |
+
& \multicolumn{3}{c|}{\textbf{C1}} & \multicolumn{3}{c|}{\textbf{C2}} & \multicolumn{3}{c|}{\textbf{C3}} & \multicolumn{3}{c|}{\textbf{C4}} & \multicolumn{3}{c|}{\textbf{C5}} \\ \hline
|
| 4 |
+
& F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK \\ \hline
|
| 5 |
+
deepseekR1-extractor-full\_context-avg(A,B) & 0.04 & 0.08 & 0.20 & 0.27 & 0.34 & 0.51 & 0.30 & 0.41 & 0.52 & 0.37 & 0.60 & 0.56 & 0.37 & 0.42 & 0.61 \\
|
| 6 |
+
\hline
|
| 7 |
+
deepseekR1-graderPrompt-essay\_only-avg(A,B) & 0.17 & 0.25 & 0.44 & 0.05 & 0.05 & 0.03 & 0.19 & 0.19 & 0.39 & 0.21 & 0.25 & 0.48 & 0.31 & 0.34 & 0.55 \\
|
| 8 |
+
deepseekR1-graderPrompt-full\_context-avg(A,B) & 0.05 & 0.06 & 0.20 & 0.32 & 0.43 & 0.53 & 0.30 & 0.30 & 0.60 & 0.29 & 0.46 & 0.55 & 0.35 & 0.38 & 0.60 \\
|
| 9 |
+
\hline
|
| 10 |
+
deepseekR1-studentPrompt-essay\_only-avg(A,B) & 0.11 & 0.17 & 0.36 & 0.13 & 0.26 & -0.02 & 0.32 & 0.34 & 0.38 & 0.27 & 0.39 & 0.52 & 0.37 & 0.43 & 0.55 \\
|
| 11 |
+
deepseekR1-studentPrompt-full\_context-avg(A,B) & 0.04 & 0.06 & 0.35 & 0.26 & 0.37 & 0.42 & 0.44 & 0.47 & 0.73 & 0.22 & 0.37 & 0.49 & 0.37 & 0.40 & 0.58 \\
|
| 12 |
+
\hline
|
| 13 |
+
gpt4o-extractor-full\_context-avg(A,B) & 0.25 & 0.54 & 0.53 & 0.32 & 0.43 & 0.47 & 0.27 & 0.30 & 0.57 & 0.27 & 0.45 & 0.50 & 0.14 & 0.15 & 0.32 \\
|
| 14 |
+
\hline
|
| 15 |
+
gpt4o-graderPrompt-essay\_only-avg(A,B) & 0.21 & 0.45 & 0.49 & 0.16 & 0.22 & 0.28 & 0.20 & 0.27 & 0.28 & 0.29 & 0.39 & 0.51 & 0.32 & 0.35 & 0.54 \\
|
| 16 |
+
\hline
|
| 17 |
+
gpt4o-studentPrompt-essay\_only-avg(A,B) & 0.22 & 0.43 & 0.51 & 0.16 & 0.27 & 0.20 & 0.26 & 0.30 & 0.38 & 0.30 & 0.40 & 0.51 & 0.28 & 0.31 & 0.55 \\
|
| 18 |
+
gpt4o-studentPrompt-full\_context-avg(A,B) & 0.21 & 0.42 & 0.48 & 0.34 & 0.43 & 0.52 & 0.27 & 0.30 & 0.53 & 0.26 & 0.37 & 0.49 & 0.17 & 0.19 & 0.35 \\
|
| 19 |
+
\hline
|
| 20 |
+
sabia3-extractor-full\_context-avg(A,B) & 0.10 & 0.26 & 0.31 & 0.16 & 0.24 & 0.28 & 0.20 & 0.29 & 0.21 & 0.18 & 0.38 & 0.38 & 0.22 & 0.24 & 0.51 \\
|
| 21 |
+
\hline
|
| 22 |
+
sabia3-graderPrompt-essay\_only-avg(A,B) & 0.23 & 0.42 & 0.53 & 0.11 & 0.12 & 0.06 & 0.28 & 0.33 & 0.34 & 0.24 & 0.43 & 0.55 & 0.33 & 0.38 & 0.59 \\
|
| 23 |
+
sabia3-graderPrompt-full\_context-avg(A,B) & 0.24 & 0.50 & 0.50 & 0.33 & 0.43 & 0.50 & 0.33 & 0.37 & 0.54 & 0.31 & 0.49 & 0.53 & 0.28 & 0.32 & 0.50 \\
|
| 24 |
+
\hline
|
| 25 |
+
sabia3-studentPrompt-essay\_only-avg(A,B) & 0.35 & 0.66 & 0.69 & 0.11 & 0.11 & 0.01 & 0.23 & 0.32 & 0.30 & 0.31 & 0.53 & 0.52 & 0.29 & 0.35 & 0.51 \\
|
| 26 |
+
sabia3-studentPrompt-full\_context-avg(A,B) & 0.35 & 0.60 & 0.58 & 0.28 & 0.42 & 0.47 & 0.21 & 0.24 & 0.45 & 0.28 & 0.43 & 0.39 & 0.27 & 0.28 & 0.54 \\
|
| 27 |
+
\hline\hline
|
| 28 |
+
llama3.1-8b-lora-essay-only-r16-avg(A,B) & 0.53 & 0.67 & 0.69 & 0.26 & 0.36 & 0.36 & 0.26 & 0.30 & 0.43 & 0.31 & 0.45 & 0.45 & 0.21 & 0.22 & 0.36 \\
|
| 29 |
+
\hline
|
| 30 |
+
llama3.1-8b-lora-essay-only-r8-avg(A,B) & 0.49 & 0.67 & 0.65 & 0.16 & 0.19 & 0.32 & 0.25 & 0.37 & 0.37 & 0.24 & 0.53 & 0.39 & 0.26 & 0.28 & 0.29 \\
|
| 31 |
+
\hline
|
| 32 |
+
llama3.1-8b-lora-full-context-r16-avg(A,B) & 0.51 & 0.68 & 0.66 & 0.20 & 0.25 & 0.33 & 0.24 & 0.26 & 0.32 & 0.26 & 0.51 & 0.44 & 0.25 & 0.24 & 0.19 \\
|
| 33 |
+
\hline
|
| 34 |
+
llama3.1-8b-lora-full-context-r8-avg(A,B) & 0.41 & 0.57 & 0.60 & 0.21 & 0.29 & 0.25 & 0.25 & 0.28 & 0.32 & 0.39 & 0.55 & 0.54 & 0.21 & 0.20 & 0.18 \\
|
| 35 |
+
\hline
|
| 36 |
+
phi3.5-mini-lora-essay-only-r16-avg(A,B) & 0.33 & 0.40 & 0.45 & 0.21 & 0.26 & 0.28 & 0.24 & 0.28 & 0.22 & 0.29 & 0.50 & 0.27 & 0.19 & 0.24 & 0.25 \\
|
| 37 |
+
\hline
|
| 38 |
+
phi3.5-mini-lora-essay-only-r8-avg(A,B) & 0.33 & 0.40 & 0.45 & 0.21 & 0.26 & 0.28 & 0.24 & 0.28 & 0.22 & 0.29 & 0.50 & 0.27 & 0.19 & 0.24 & 0.25 \\
|
| 39 |
+
\hline
|
| 40 |
+
phi3.5-mini-lora-full-context-r16-avg(A,B) & 0.19 & 0.29 & 0.28 & 0.14 & 0.22 & -0.03 & 0.28 & 0.35 & 0.44 & 0.11 & 0.20 & 0.08 & 0.18 & 0.19 & 0.19 \\
|
| 41 |
+
\hline
|
| 42 |
+
phi3.5-mini-lora-full-context-r8-avg(A,B) & 0.19 & 0.29 & 0.28 & 0.14 & 0.22 & -0.03 & 0.28 & 0.35 & 0.44 & 0.11 & 0.20 & 0.08 & 0.18 & 0.19 & 0.19 \\
|
| 43 |
+
\hline
|
| 44 |
+
phi4-lora-essay-only-r16-avg(A,B) & 0.53 & 0.66 & 0.70 & 0.19 & 0.25 & 0.21 & 0.25 & 0.34 & 0.41 & 0.38 & 0.63 & 0.58 & 0.36 & 0.42 & 0.65 \\
|
| 45 |
+
\hline
|
| 46 |
+
phi4-lora-essay-only-r8-avg(A,B) & 0.50 & 0.61 & 0.67 & 0.28 & 0.39 & 0.34 & 0.24 & 0.31 & 0.33 & 0.30 & 0.58 & 0.48 & 0.44 & 0.49 & 0.59 \\
|
| 47 |
+
\hline
|
| 48 |
+
phi4-lora-full-context-r16-avg(A,B) & 0.41 & 0.58 & 0.61 & 0.42 & 0.52 & 0.60 & 0.42 & 0.48 & 0.66 & 0.35 & 0.50 & 0.60 & 0.29 & 0.33 & 0.53 \\
|
| 49 |
+
\hline
|
| 50 |
+
phi4-lora-full-context-r8-avg(A,B) & 0.48 & 0.63 & 0.67 & 0.40 & 0.50 & 0.59 & 0.37 & 0.38 & 0.57 & 0.37 & 0.58 & 0.55 & 0.29 & 0.32 & 0.52 \\
|
| 51 |
+
\hline\hline
|
| 52 |
+
bertimbau-base-essay-only-avg(A,B) & 0.42 & 0.52 & 0.60 & 0.26 & 0.37 & 0.36 & 0.23 & 0.28 & 0.35 & 0.38 & 0.55 & 0.55 & 0.29 & 0.37 & 0.63 \\
|
| 53 |
+
\hline
|
| 54 |
+
bertimbau-large-essay-only-avg(A,B) & 0.52 & 0.69 & 0.68 & 0.33 & 0.43 & 0.32 & 0.19 & 0.26 & 0.24 & 0.48 & 0.61 & 0.60 & 0.29 & 0.37 & 0.46 \\
|
| 55 |
+
\hline
|
| 56 |
+
bertugues-base-essay-only-avg(A,B) & 0.44 & 0.56 & 0.62 & 0.14 & 0.19 & 0.33 & 0.25 & 0.36 & 0.29 & 0.35 & 0.51 & 0.54 & 0.23 & 0.28 & 0.36 \\
|
| 57 |
+
\hline
|
| 58 |
+
mbert-base-essay-only-avg(A,B) & 0.40 & 0.59 & 0.52 & 0.18 & 0.27 & 0.22 & 0.25 & 0.32 & 0.35 & 0.35 & 0.55 & 0.50 & 0.08 & 0.09 & 0.00 \\
|
| 59 |
+
\hline\hline
|
| 60 |
+
\end{tabular}%
|
evaluation_table_full.txt
ADDED
|
@@ -0,0 +1,150 @@
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|
|
| 1 |
+
\begin{tabular}{c|c c c| c c c| c c c| c c c| c c c}
|
| 2 |
+
\hline\hline
|
| 3 |
+
& \multicolumn{3}{c|}{\textbf{C1}} & \multicolumn{3}{c|}{\textbf{C2}} & \multicolumn{3}{c|}{\textbf{C3}} & \multicolumn{3}{c|}{\textbf{C4}} & \multicolumn{3}{c|}{\textbf{C5}} \\ \hline
|
| 4 |
+
& F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK & F1$_{ma}$ & F1$_{w}$ & QWK \\ \hline
|
| 5 |
+
deepseekR1-extractor-full\_context-avg(A,B) & 0.04 & 0.08 & 0.20 & 0.27 & 0.34 & 0.51 & 0.30 & 0.41 & 0.52 & 0.37 & 0.60 & 0.56 & 0.37 & 0.42 & 0.61 \\
|
| 6 |
+
deepseekR1-extractor-full\_context-concat(A,B) & 0.03 & 0.08 & 0.21 & 0.29 & 0.31 & 0.51 & 0.32 & 0.40 & 0.52 & 0.31 & 0.59 & 0.56 & 0.38 & 0.42 & 0.61 \\
|
| 7 |
+
deepseekR1-extractor-full\_context-onlyA & 0.02 & 0.05 & 0.24 & 0.31 & 0.39 & 0.45 & 0.27 & 0.41 & 0.51 & 0.36 & 0.57 & 0.49 & 0.38 & 0.42 & 0.58 \\
|
| 8 |
+
deepseekR1-extractor-full\_context-onlyB & 0.06 & 0.12 & 0.17 & 0.23 & 0.30 & 0.57 & 0.33 & 0.40 & 0.54 & 0.38 & 0.62 & 0.62 & 0.36 & 0.43 & 0.64 \\
|
| 9 |
+
\hline
|
| 10 |
+
deepseekR1-graderPrompt-essay\_only-avg(A,B) & 0.17 & 0.25 & 0.44 & 0.05 & 0.05 & 0.03 & 0.19 & 0.19 & 0.39 & 0.21 & 0.25 & 0.48 & 0.31 & 0.34 & 0.55 \\
|
| 11 |
+
deepseekR1-graderPrompt-essay\_only-concat(A,B) & 0.16 & 0.25 & 0.44 & 0.04 & 0.05 & 0.03 & 0.18 & 0.18 & 0.40 & 0.18 & 0.24 & 0.47 & 0.32 & 0.33 & 0.55 \\
|
| 12 |
+
deepseekR1-graderPrompt-essay\_only-onlyA & 0.17 & 0.25 & 0.45 & 0.08 & 0.08 & 0.02 & 0.12 & 0.17 & 0.34 & 0.15 & 0.24 & 0.40 & 0.30 & 0.31 & 0.52 \\
|
| 13 |
+
deepseekR1-graderPrompt-essay\_only-onlyB & 0.17 & 0.25 & 0.43 & 0.02 & 0.03 & 0.04 & 0.26 & 0.22 & 0.44 & 0.26 & 0.25 & 0.55 & 0.33 & 0.37 & 0.58 \\
|
| 14 |
+
deepseekR1-graderPrompt-full\_context-avg(A,B) & 0.05 & 0.06 & 0.20 & 0.32 & 0.43 & 0.53 & 0.30 & 0.30 & 0.60 & 0.29 & 0.46 & 0.55 & 0.35 & 0.38 & 0.60 \\
|
| 15 |
+
deepseekR1-graderPrompt-full\_context-concat(A,B) & 0.06 & 0.06 & 0.20 & 0.36 & 0.40 & 0.51 & 0.31 & 0.29 & 0.60 & 0.25 & 0.46 & 0.55 & 0.36 & 0.37 & 0.60 \\
|
| 16 |
+
deepseekR1-graderPrompt-full\_context-onlyA & 0.09 & 0.09 & 0.20 & 0.32 & 0.43 & 0.41 & 0.26 & 0.25 & 0.59 & 0.29 & 0.42 & 0.52 & 0.32 & 0.35 & 0.54 \\
|
| 17 |
+
deepseekR1-graderPrompt-full\_context-onlyB & 0.02 & 0.03 & 0.20 & 0.33 & 0.43 & 0.65 & 0.33 & 0.36 & 0.61 & 0.30 & 0.49 & 0.58 & 0.38 & 0.41 & 0.65 \\
|
| 18 |
+
\hline
|
| 19 |
+
deepseekR1-studentPrompt-essay\_only-avg(A,B) & 0.11 & 0.17 & 0.36 & 0.13 & 0.26 & -0.02 & 0.32 & 0.34 & 0.38 & 0.27 & 0.39 & 0.52 & 0.37 & 0.43 & 0.55 \\
|
| 20 |
+
deepseekR1-studentPrompt-essay\_only-concat(A,B) & 0.10 & 0.17 & 0.36 & 0.15 & 0.25 & -0.01 & 0.29 & 0.33 & 0.38 & 0.26 & 0.39 & 0.52 & 0.37 & 0.43 & 0.55 \\
|
| 21 |
+
deepseekR1-studentPrompt-essay\_only-onlyA & 0.10 & 0.15 & 0.35 & 0.11 & 0.26 & -0.01 & 0.25 & 0.31 & 0.33 & 0.21 & 0.40 & 0.49 & 0.33 & 0.36 & 0.50 \\
|
| 22 |
+
deepseekR1-studentPrompt-essay\_only-onlyB & 0.11 & 0.18 & 0.37 & 0.15 & 0.26 & -0.03 & 0.39 & 0.37 & 0.43 & 0.33 & 0.38 & 0.54 & 0.41 & 0.50 & 0.59 \\
|
| 23 |
+
deepseekR1-studentPrompt-full\_context-avg(A,B) & 0.04 & 0.06 & 0.35 & 0.26 & 0.37 & 0.42 & 0.44 & 0.47 & 0.73 & 0.22 & 0.37 & 0.49 & 0.37 & 0.40 & 0.58 \\
|
| 24 |
+
deepseekR1-studentPrompt-full\_context-concat(A,B) & 0.04 & 0.06 & 0.35 & 0.30 & 0.35 & 0.41 & 0.46 & 0.46 & 0.73 & 0.20 & 0.36 & 0.49 & 0.39 & 0.40 & 0.58 \\
|
| 25 |
+
deepseekR1-studentPrompt-full\_context-onlyA & 0.03 & 0.07 & 0.37 & 0.24 & 0.30 & 0.37 & 0.45 & 0.42 & 0.69 & 0.17 & 0.40 & 0.47 & 0.31 & 0.34 & 0.52 \\
|
| 26 |
+
deepseekR1-studentPrompt-full\_context-onlyB & 0.05 & 0.06 & 0.34 & 0.28 & 0.43 & 0.47 & 0.43 & 0.53 & 0.77 & 0.28 & 0.33 & 0.51 & 0.43 & 0.46 & 0.64 \\
|
| 27 |
+
\hline
|
| 28 |
+
gpt4o-extractor-full\_context-avg(A,B) & 0.25 & 0.54 & 0.53 & 0.32 & 0.43 & 0.47 & 0.27 & 0.30 & 0.57 & 0.27 & 0.45 & 0.50 & 0.14 & 0.15 & 0.32 \\
|
| 29 |
+
gpt4o-extractor-full\_context-concat(A,B) & 0.23 & 0.54 & 0.54 & 0.36 & 0.41 & 0.47 & 0.29 & 0.28 & 0.57 & 0.28 & 0.45 & 0.50 & 0.15 & 0.15 & 0.31 \\
|
| 30 |
+
gpt4o-extractor-full\_context-onlyA & 0.25 & 0.54 & 0.58 & 0.35 & 0.49 & 0.44 & 0.29 & 0.34 & 0.55 & 0.20 & 0.44 & 0.49 & 0.14 & 0.14 & 0.33 \\
|
| 31 |
+
gpt4o-extractor-full\_context-onlyB & 0.24 & 0.53 & 0.48 & 0.29 & 0.38 & 0.50 & 0.25 & 0.26 & 0.59 & 0.34 & 0.47 & 0.52 & 0.15 & 0.17 & 0.31 \\
|
| 32 |
+
\hline
|
| 33 |
+
gpt4o-graderPrompt-essay\_only-avg(A,B) & 0.21 & 0.45 & 0.49 & 0.16 & 0.22 & 0.28 & 0.20 & 0.27 & 0.28 & 0.29 & 0.39 & 0.51 & 0.32 & 0.35 & 0.54 \\
|
| 34 |
+
gpt4o-graderPrompt-essay\_only-concat(A,B) & 0.19 & 0.45 & 0.49 & 0.20 & 0.19 & 0.29 & 0.18 & 0.26 & 0.28 & 0.26 & 0.39 & 0.51 & 0.32 & 0.34 & 0.54 \\
|
| 35 |
+
gpt4o-graderPrompt-essay\_only-onlyA & 0.17 & 0.42 & 0.48 & 0.14 & 0.20 & 0.29 & 0.20 & 0.34 & 0.29 & 0.17 & 0.38 & 0.48 & 0.26 & 0.26 & 0.49 \\
|
| 36 |
+
gpt4o-graderPrompt-essay\_only-onlyB & 0.25 & 0.47 & 0.50 & 0.17 & 0.24 & 0.28 & 0.19 & 0.21 & 0.28 & 0.40 & 0.40 & 0.54 & 0.37 & 0.43 & 0.59 \\
|
| 37 |
+
\hline
|
| 38 |
+
gpt4o-studentPrompt-essay\_only-avg(A,B) & 0.22 & 0.43 & 0.51 & 0.16 & 0.27 & 0.20 & 0.26 & 0.30 & 0.38 & 0.30 & 0.40 & 0.51 & 0.28 & 0.31 & 0.55 \\
|
| 39 |
+
gpt4o-studentPrompt-essay\_only-concat(A,B) & 0.20 & 0.42 & 0.51 & 0.18 & 0.26 & 0.20 & 0.24 & 0.29 & 0.38 & 0.28 & 0.39 & 0.51 & 0.29 & 0.30 & 0.55 \\
|
| 40 |
+
gpt4o-studentPrompt-essay\_only-onlyA & 0.19 & 0.40 & 0.51 & 0.16 & 0.31 & 0.19 & 0.22 & 0.30 & 0.36 & 0.18 & 0.39 & 0.46 & 0.25 & 0.25 & 0.52 \\
|
| 41 |
+
gpt4o-studentPrompt-essay\_only-onlyB & 0.24 & 0.45 & 0.50 & 0.15 & 0.24 & 0.20 & 0.30 & 0.29 & 0.40 & 0.42 & 0.40 & 0.55 & 0.31 & 0.37 & 0.57 \\
|
| 42 |
+
gpt4o-studentPrompt-full\_context-avg(A,B) & 0.21 & 0.42 & 0.48 & 0.34 & 0.43 & 0.52 & 0.27 & 0.30 & 0.53 & 0.26 & 0.37 & 0.49 & 0.17 & 0.19 & 0.35 \\
|
| 43 |
+
gpt4o-studentPrompt-full\_context-concat(A,B) & 0.18 & 0.42 & 0.48 & 0.38 & 0.41 & 0.51 & 0.25 & 0.29 & 0.53 & 0.24 & 0.37 & 0.49 & 0.17 & 0.19 & 0.35 \\
|
| 44 |
+
gpt4o-studentPrompt-full\_context-onlyA & 0.15 & 0.36 & 0.48 & 0.36 & 0.48 & 0.47 & 0.26 & 0.36 & 0.50 & 0.17 & 0.37 & 0.43 & 0.14 & 0.16 & 0.37 \\
|
| 45 |
+
gpt4o-studentPrompt-full\_context-onlyB & 0.26 & 0.48 & 0.48 & 0.31 & 0.37 & 0.57 & 0.28 & 0.25 & 0.56 & 0.35 & 0.37 & 0.55 & 0.21 & 0.22 & 0.34 \\
|
| 46 |
+
\hline
|
| 47 |
+
sabia3-extractor-full\_context-avg(A,B) & 0.10 & 0.26 & 0.31 & 0.16 & 0.24 & 0.28 & 0.20 & 0.29 & 0.21 & 0.18 & 0.38 & 0.38 & 0.22 & 0.24 & 0.51 \\
|
| 48 |
+
sabia3-extractor-full\_context-concat(A,B) & 0.09 & 0.26 & 0.31 & 0.15 & 0.21 & 0.28 & 0.19 & 0.27 & 0.21 & 0.17 & 0.38 & 0.38 & 0.23 & 0.23 & 0.52 \\
|
| 49 |
+
sabia3-extractor-full\_context-onlyA & 0.09 & 0.24 & 0.29 & 0.21 & 0.34 & 0.29 & 0.20 & 0.37 & 0.24 & 0.19 & 0.42 & 0.35 & 0.22 & 0.25 & 0.46 \\
|
| 50 |
+
sabia3-extractor-full\_context-onlyB & 0.11 & 0.28 & 0.33 & 0.12 & 0.14 & 0.27 & 0.20 & 0.21 & 0.19 & 0.18 & 0.35 & 0.40 & 0.21 & 0.23 & 0.56 \\
|
| 51 |
+
\hline
|
| 52 |
+
sabia3-graderPrompt-essay\_only-avg(A,B) & 0.23 & 0.42 & 0.53 & 0.11 & 0.12 & 0.06 & 0.28 & 0.33 & 0.34 & 0.24 & 0.43 & 0.55 & 0.33 & 0.38 & 0.59 \\
|
| 53 |
+
sabia3-graderPrompt-essay\_only-concat(A,B) & 0.21 & 0.42 & 0.53 & 0.09 & 0.11 & 0.06 & 0.25 & 0.32 & 0.34 & 0.22 & 0.43 & 0.55 & 0.33 & 0.37 & 0.59 \\
|
| 54 |
+
sabia3-graderPrompt-essay\_only-onlyA & 0.23 & 0.44 & 0.51 & 0.15 & 0.10 & 0.09 & 0.22 & 0.34 & 0.30 & 0.15 & 0.42 & 0.50 & 0.26 & 0.30 & 0.54 \\
|
| 55 |
+
sabia3-graderPrompt-essay\_only-onlyB & 0.22 & 0.40 & 0.55 & 0.07 & 0.13 & 0.03 & 0.33 & 0.33 & 0.38 & 0.32 & 0.45 & 0.60 & 0.41 & 0.46 & 0.63 \\
|
| 56 |
+
sabia3-graderPrompt-full\_context-avg(A,B) & 0.24 & 0.50 & 0.50 & 0.33 & 0.43 & 0.50 & 0.33 & 0.37 & 0.54 & 0.31 & 0.49 & 0.53 & 0.28 & 0.32 & 0.50 \\
|
| 57 |
+
sabia3-graderPrompt-full\_context-concat(A,B) & 0.23 & 0.50 & 0.50 & 0.37 & 0.41 & 0.49 & 0.37 & 0.36 & 0.54 & 0.29 & 0.49 & 0.53 & 0.29 & 0.31 & 0.50 \\
|
| 58 |
+
sabia3-graderPrompt-full\_context-onlyA & 0.23 & 0.50 & 0.48 & 0.37 & 0.45 & 0.47 & 0.37 & 0.39 & 0.53 & 0.22 & 0.52 & 0.53 & 0.29 & 0.36 & 0.51 \\
|
| 59 |
+
sabia3-graderPrompt-full\_context-onlyB & 0.26 & 0.51 & 0.51 & 0.29 & 0.41 & 0.52 & 0.29 & 0.35 & 0.55 & 0.40 & 0.47 & 0.53 & 0.27 & 0.28 & 0.48 \\
|
| 60 |
+
\hline
|
| 61 |
+
sabia3-studentPrompt-essay\_only-avg(A,B) & 0.35 & 0.66 & 0.69 & 0.11 & 0.11 & 0.01 & 0.23 & 0.32 & 0.30 & 0.31 & 0.53 & 0.52 & 0.29 & 0.35 & 0.51 \\
|
| 62 |
+
sabia3-studentPrompt-essay\_only-concat(A,B) & 0.32 & 0.66 & 0.69 & 0.08 & 0.11 & 0.02 & 0.22 & 0.30 & 0.30 & 0.29 & 0.52 & 0.52 & 0.30 & 0.34 & 0.51 \\
|
| 63 |
+
sabia3-studentPrompt-essay\_only-onlyA & 0.31 & 0.61 & 0.66 & 0.14 & 0.08 & 0.04 & 0.20 & 0.41 & 0.27 & 0.23 & 0.56 & 0.54 & 0.29 & 0.32 & 0.47 \\
|
| 64 |
+
sabia3-studentPrompt-essay\_only-onlyB & 0.40 & 0.72 & 0.72 & 0.08 & 0.14 & -0.02 & 0.25 & 0.23 & 0.33 & 0.38 & 0.49 & 0.49 & 0.30 & 0.38 & 0.55 \\
|
| 65 |
+
sabia3-studentPrompt-full\_context-avg(A,B) & 0.35 & 0.60 & 0.58 & 0.28 & 0.42 & 0.47 & 0.21 & 0.24 & 0.45 & 0.28 & 0.43 & 0.39 & 0.27 & 0.28 & 0.54 \\
|
| 66 |
+
sabia3-studentPrompt-full\_context-concat(A,B) & 0.32 & 0.60 & 0.57 & 0.31 & 0.40 & 0.46 & 0.23 & 0.22 & 0.45 & 0.25 & 0.43 & 0.39 & 0.27 & 0.28 & 0.53 \\
|
| 67 |
+
sabia3-studentPrompt-full\_context-onlyA & 0.33 & 0.58 & 0.54 & 0.30 & 0.38 & 0.35 & 0.23 & 0.28 & 0.43 & 0.18 & 0.46 & 0.41 & 0.25 & 0.25 & 0.54 \\
|
| 68 |
+
sabia3-studentPrompt-full\_context-onlyB & 0.37 & 0.62 & 0.62 & 0.26 & 0.46 & 0.59 & 0.18 & 0.19 & 0.47 & 0.38 & 0.41 & 0.36 & 0.30 & 0.31 & 0.53 \\
|
| 69 |
+
\hline\hline
|
| 70 |
+
llama3.1-8b-lora-essay-only-r16-avg(A,B) & 0.53 & 0.67 & 0.69 & 0.26 & 0.36 & 0.36 & 0.26 & 0.30 & 0.43 & 0.31 & 0.45 & 0.45 & 0.21 & 0.22 & 0.36 \\
|
| 71 |
+
llama3.1-8b-lora-essay-only-r16-concat(A,B) & 0.48 & 0.67 & 0.69 & 0.25 & 0.35 & 0.36 & 0.25 & 0.28 & 0.43 & 0.26 & 0.45 & 0.45 & 0.22 & 0.21 & 0.36 \\
|
| 72 |
+
llama3.1-8b-lora-essay-only-r16-onlyA & 0.53 & 0.69 & 0.71 & 0.21 & 0.36 & 0.33 & 0.22 & 0.33 & 0.39 & 0.37 & 0.50 & 0.47 & 0.14 & 0.15 & 0.28 \\
|
| 73 |
+
llama3.1-8b-lora-essay-only-r16-onlyB & 0.53 & 0.65 & 0.67 & 0.32 & 0.36 & 0.39 & 0.31 & 0.26 & 0.47 & 0.24 & 0.41 & 0.43 & 0.28 & 0.29 & 0.44 \\
|
| 74 |
+
\hline
|
| 75 |
+
llama3.1-8b-lora-essay-only-r8-avg(A,B) & 0.49 & 0.67 & 0.65 & 0.16 & 0.19 & 0.32 & 0.25 & 0.37 & 0.37 & 0.24 & 0.53 & 0.39 & 0.26 & 0.28 & 0.29 \\
|
| 76 |
+
llama3.1-8b-lora-essay-only-r8-concat(A,B) & 0.45 & 0.66 & 0.65 & 0.16 & 0.16 & 0.32 & 0.24 & 0.36 & 0.37 & 0.22 & 0.53 & 0.39 & 0.27 & 0.27 & 0.30 \\
|
| 77 |
+
llama3.1-8b-lora-essay-only-r8-onlyA & 0.47 & 0.68 & 0.64 & 0.08 & 0.09 & 0.24 & 0.23 & 0.46 & 0.37 & 0.22 & 0.55 & 0.41 & 0.26 & 0.27 & 0.23 \\
|
| 78 |
+
llama3.1-8b-lora-essay-only-r8-onlyB & 0.51 & 0.65 & 0.65 & 0.24 & 0.30 & 0.40 & 0.26 & 0.27 & 0.37 & 0.26 & 0.52 & 0.37 & 0.27 & 0.30 & 0.36 \\
|
| 79 |
+
\hline
|
| 80 |
+
llama3.1-8b-lora-full-context-r16-avg(A,B) & 0.51 & 0.68 & 0.66 & 0.20 & 0.25 & 0.33 & 0.24 & 0.26 & 0.32 & 0.26 & 0.51 & 0.44 & 0.25 & 0.24 & 0.19 \\
|
| 81 |
+
llama3.1-8b-lora-full-context-r16-concat(A,B) & 0.46 & 0.68 & 0.66 & 0.21 & 0.22 & 0.33 & 0.22 & 0.26 & 0.32 & 0.23 & 0.50 & 0.44 & 0.26 & 0.24 & 0.19 \\
|
| 82 |
+
llama3.1-8b-lora-full-context-r16-onlyA & 0.48 & 0.68 & 0.64 & 0.14 & 0.18 & 0.29 & 0.22 & 0.28 & 0.26 & 0.19 & 0.44 & 0.35 & 0.20 & 0.24 & 0.21 \\
|
| 83 |
+
llama3.1-8b-lora-full-context-r16-onlyB & 0.54 & 0.69 & 0.68 & 0.26 & 0.33 & 0.38 & 0.25 & 0.25 & 0.38 & 0.33 & 0.57 & 0.54 & 0.30 & 0.25 & 0.17 \\
|
| 84 |
+
\hline
|
| 85 |
+
llama3.1-8b-lora-full-context-r8-avg(A,B) & 0.41 & 0.57 & 0.60 & 0.21 & 0.29 & 0.25 & 0.25 & 0.28 & 0.32 & 0.39 & 0.55 & 0.54 & 0.21 & 0.20 & 0.18 \\
|
| 86 |
+
llama3.1-8b-lora-full-context-r8-concat(A,B) & 0.37 & 0.57 & 0.59 & 0.21 & 0.26 & 0.24 & 0.23 & 0.28 & 0.32 & 0.33 & 0.55 & 0.54 & 0.23 & 0.19 & 0.18 \\
|
| 87 |
+
llama3.1-8b-lora-full-context-r8-onlyA & 0.38 & 0.59 & 0.56 & 0.17 & 0.26 & 0.23 & 0.25 & 0.33 & 0.29 & 0.34 & 0.51 & 0.44 & 0.18 & 0.22 & 0.19 \\
|
| 88 |
+
llama3.1-8b-lora-full-context-r8-onlyB & 0.43 & 0.56 & 0.63 & 0.25 & 0.32 & 0.26 & 0.24 & 0.24 & 0.34 & 0.44 & 0.59 & 0.64 & 0.25 & 0.17 & 0.17 \\
|
| 89 |
+
\hline
|
| 90 |
+
phi3.5-mini-lora-essay-only-r16-avg(A,B) & 0.33 & 0.40 & 0.45 & 0.21 & 0.26 & 0.28 & 0.24 & 0.28 & 0.22 & 0.29 & 0.50 & 0.27 & 0.19 & 0.24 & 0.25 \\
|
| 91 |
+
phi3.5-mini-lora-essay-only-r16-concat(A,B) & 0.30 & 0.40 & 0.45 & 0.21 & 0.23 & 0.28 & 0.22 & 0.28 & 0.22 & 0.24 & 0.50 & 0.27 & 0.19 & 0.24 & 0.25 \\
|
| 92 |
+
phi3.5-mini-lora-essay-only-r16-onlyA & 0.31 & 0.42 & 0.42 & 0.15 & 0.22 & 0.23 & 0.19 & 0.26 & 0.16 & 0.28 & 0.47 & 0.31 & 0.14 & 0.16 & 0.25 \\
|
| 93 |
+
phi3.5-mini-lora-essay-only-r16-onlyB & 0.36 & 0.38 & 0.49 & 0.28 & 0.29 & 0.33 & 0.29 & 0.30 & 0.27 & 0.30 & 0.53 & 0.24 & 0.23 & 0.31 & 0.26 \\
|
| 94 |
+
\hline
|
| 95 |
+
phi3.5-mini-lora-essay-only-r8-avg(A,B) & 0.33 & 0.40 & 0.45 & 0.21 & 0.26 & 0.28 & 0.24 & 0.28 & 0.22 & 0.29 & 0.50 & 0.27 & 0.19 & 0.24 & 0.25 \\
|
| 96 |
+
phi3.5-mini-lora-essay-only-r8-concat(A,B) & 0.30 & 0.40 & 0.45 & 0.21 & 0.23 & 0.28 & 0.22 & 0.28 & 0.22 & 0.24 & 0.50 & 0.27 & 0.19 & 0.24 & 0.25 \\
|
| 97 |
+
phi3.5-mini-lora-essay-only-r8-onlyA & 0.31 & 0.42 & 0.42 & 0.15 & 0.22 & 0.23 & 0.19 & 0.26 & 0.16 & 0.28 & 0.47 & 0.31 & 0.14 & 0.16 & 0.25 \\
|
| 98 |
+
phi3.5-mini-lora-essay-only-r8-onlyB & 0.36 & 0.38 & 0.49 & 0.28 & 0.29 & 0.33 & 0.29 & 0.30 & 0.27 & 0.30 & 0.53 & 0.24 & 0.23 & 0.31 & 0.26 \\
|
| 99 |
+
\hline
|
| 100 |
+
phi3.5-mini-lora-full-context-r16-avg(A,B) & 0.19 & 0.29 & 0.28 & 0.14 & 0.22 & -0.03 & 0.28 & 0.35 & 0.44 & 0.11 & 0.20 & 0.08 & 0.18 & 0.19 & 0.19 \\
|
| 101 |
+
phi3.5-mini-lora-full-context-r16-concat(A,B) & 0.17 & 0.29 & 0.28 & 0.14 & 0.21 & -0.02 & 0.26 & 0.34 & 0.45 & 0.09 & 0.20 & 0.08 & 0.19 & 0.18 & 0.19 \\
|
| 102 |
+
phi3.5-mini-lora-full-context-r16-onlyA & 0.15 & 0.27 & 0.25 & 0.14 & 0.23 & 0.00 & 0.22 & 0.34 & 0.36 & 0.10 & 0.16 & 0.12 & 0.14 & 0.18 & 0.20 \\
|
| 103 |
+
phi3.5-mini-lora-full-context-r16-onlyB & 0.23 & 0.31 & 0.31 & 0.14 & 0.20 & -0.06 & 0.34 & 0.37 & 0.52 & 0.12 & 0.23 & 0.04 & 0.21 & 0.20 & 0.18 \\
|
| 104 |
+
\hline
|
| 105 |
+
phi3.5-mini-lora-full-context-r8-avg(A,B) & 0.19 & 0.29 & 0.28 & 0.14 & 0.22 & -0.03 & 0.28 & 0.35 & 0.44 & 0.11 & 0.20 & 0.08 & 0.18 & 0.19 & 0.19 \\
|
| 106 |
+
phi3.5-mini-lora-full-context-r8-concat(A,B) & 0.17 & 0.29 & 0.28 & 0.14 & 0.21 & -0.02 & 0.26 & 0.34 & 0.45 & 0.09 & 0.20 & 0.08 & 0.19 & 0.18 & 0.19 \\
|
| 107 |
+
phi3.5-mini-lora-full-context-r8-onlyA & 0.15 & 0.27 & 0.25 & 0.14 & 0.23 & 0.00 & 0.22 & 0.34 & 0.36 & 0.10 & 0.16 & 0.12 & 0.14 & 0.18 & 0.20 \\
|
| 108 |
+
phi3.5-mini-lora-full-context-r8-onlyB & 0.23 & 0.31 & 0.31 & 0.14 & 0.20 & -0.06 & 0.34 & 0.37 & 0.52 & 0.12 & 0.23 & 0.04 & 0.21 & 0.20 & 0.18 \\
|
| 109 |
+
\hline
|
| 110 |
+
phi4-lora-essay-only-r16-avg(A,B) & 0.53 & 0.66 & 0.70 & 0.19 & 0.25 & 0.21 & 0.25 & 0.34 & 0.41 & 0.38 & 0.63 & 0.58 & 0.36 & 0.42 & 0.65 \\
|
| 111 |
+
phi4-lora-essay-only-r16-concat(A,B) & 0.48 & 0.65 & 0.70 & 0.20 & 0.23 & 0.21 & 0.23 & 0.34 & 0.42 & 0.31 & 0.63 & 0.58 & 0.37 & 0.42 & 0.65 \\
|
| 112 |
+
phi4-lora-essay-only-r16-onlyA & 0.49 & 0.66 & 0.69 & 0.13 & 0.22 & 0.22 & 0.21 & 0.37 & 0.37 & 0.43 & 0.64 & 0.52 & 0.37 & 0.42 & 0.64 \\
|
| 113 |
+
phi4-lora-essay-only-r16-onlyB & 0.58 & 0.65 & 0.70 & 0.26 & 0.29 & 0.20 & 0.29 & 0.32 & 0.46 & 0.33 & 0.63 & 0.65 & 0.35 & 0.43 & 0.66 \\
|
| 114 |
+
\hline
|
| 115 |
+
phi4-lora-essay-only-r8-avg(A,B) & 0.50 & 0.61 & 0.67 & 0.28 & 0.39 & 0.34 & 0.24 & 0.31 & 0.33 & 0.30 & 0.58 & 0.48 & 0.44 & 0.49 & 0.59 \\
|
| 116 |
+
phi4-lora-essay-only-r8-concat(A,B) & 0.45 & 0.61 & 0.67 & 0.27 & 0.36 & 0.33 & 0.24 & 0.31 & 0.33 & 0.25 & 0.58 & 0.48 & 0.44 & 0.49 & 0.59 \\
|
| 117 |
+
phi4-lora-essay-only-r8-onlyA & 0.49 & 0.63 & 0.68 & 0.19 & 0.32 & 0.29 & 0.24 & 0.36 & 0.30 & 0.31 & 0.60 & 0.47 & 0.44 & 0.49 & 0.60 \\
|
| 118 |
+
phi4-lora-essay-only-r8-onlyB & 0.51 & 0.60 & 0.66 & 0.37 & 0.46 & 0.39 & 0.24 & 0.26 & 0.36 & 0.29 & 0.55 & 0.49 & 0.43 & 0.49 & 0.58 \\
|
| 119 |
+
\hline
|
| 120 |
+
phi4-lora-full-context-r16-avg(A,B) & 0.41 & 0.58 & 0.61 & 0.42 & 0.52 & 0.60 & 0.42 & 0.48 & 0.66 & 0.35 & 0.50 & 0.60 & 0.29 & 0.33 & 0.53 \\
|
| 121 |
+
phi4-lora-full-context-r16-concat(A,B) & 0.38 & 0.57 & 0.61 & 0.40 & 0.50 & 0.60 & 0.39 & 0.47 & 0.66 & 0.29 & 0.50 & 0.60 & 0.30 & 0.32 & 0.53 \\
|
| 122 |
+
phi4-lora-full-context-r16-onlyA & 0.44 & 0.60 & 0.62 & 0.36 & 0.59 & 0.56 & 0.32 & 0.46 & 0.66 & 0.34 & 0.47 & 0.55 & 0.24 & 0.29 & 0.50 \\
|
| 123 |
+
phi4-lora-full-context-r16-onlyB & 0.38 & 0.55 & 0.61 & 0.47 & 0.46 & 0.65 & 0.51 & 0.51 & 0.66 & 0.36 & 0.54 & 0.64 & 0.33 & 0.37 & 0.56 \\
|
| 124 |
+
\hline
|
| 125 |
+
phi4-lora-full-context-r8-avg(A,B) & 0.48 & 0.63 & 0.67 & 0.40 & 0.50 & 0.59 & 0.37 & 0.38 & 0.57 & 0.37 & 0.58 & 0.55 & 0.29 & 0.32 & 0.52 \\
|
| 126 |
+
phi4-lora-full-context-r8-concat(A,B) & 0.43 & 0.62 & 0.67 & 0.39 & 0.47 & 0.59 & 0.34 & 0.37 & 0.57 & 0.33 & 0.58 & 0.55 & 0.30 & 0.31 & 0.52 \\
|
| 127 |
+
phi4-lora-full-context-r8-onlyA & 0.45 & 0.61 & 0.66 & 0.28 & 0.46 & 0.56 & 0.25 & 0.33 & 0.53 & 0.30 & 0.58 & 0.50 & 0.25 & 0.28 & 0.49 \\
|
| 128 |
+
phi4-lora-full-context-r8-onlyB & 0.52 & 0.64 & 0.68 & 0.53 & 0.54 & 0.62 & 0.49 & 0.44 & 0.61 & 0.44 & 0.57 & 0.60 & 0.34 & 0.35 & 0.55 \\
|
| 129 |
+
\hline\hline
|
| 130 |
+
bertimbau-base-essay-only-avg(A,B) & 0.42 & 0.52 & 0.60 & 0.26 & 0.37 & 0.36 & 0.23 & 0.28 & 0.35 & 0.38 & 0.55 & 0.55 & 0.29 & 0.37 & 0.63 \\
|
| 131 |
+
bertimbau-base-essay-only-concat(A,B) & 0.37 & 0.52 & 0.60 & 0.25 & 0.35 & 0.35 & 0.22 & 0.27 & 0.35 & 0.32 & 0.55 & 0.55 & 0.30 & 0.36 & 0.63 \\
|
| 132 |
+
bertimbau-base-essay-only-onlyA & 0.35 & 0.52 & 0.59 & 0.18 & 0.34 & 0.28 & 0.17 & 0.29 & 0.34 & 0.40 & 0.58 & 0.49 & 0.29 & 0.34 & 0.60 \\
|
| 133 |
+
bertimbau-base-essay-only-onlyB & 0.49 & 0.51 & 0.61 & 0.34 & 0.39 & 0.44 & 0.29 & 0.27 & 0.36 & 0.36 & 0.52 & 0.61 & 0.30 & 0.40 & 0.65 \\
|
| 134 |
+
\hline
|
| 135 |
+
bertimbau-large-essay-only-avg(A,B) & 0.52 & 0.69 & 0.68 & 0.33 & 0.43 & 0.32 & 0.19 & 0.26 & 0.24 & 0.48 & 0.61 & 0.60 & 0.29 & 0.37 & 0.46 \\
|
| 136 |
+
bertimbau-large-essay-only-concat(A,B) & 0.46 & 0.69 & 0.68 & 0.32 & 0.41 & 0.32 & 0.17 & 0.26 & 0.25 & 0.46 & 0.60 & 0.60 & 0.30 & 0.36 & 0.46 \\
|
| 137 |
+
bertimbau-large-essay-only-onlyA & 0.49 & 0.71 & 0.69 & 0.26 & 0.43 & 0.24 & 0.14 & 0.25 & 0.18 & 0.31 & 0.54 & 0.53 & 0.34 & 0.43 & 0.49 \\
|
| 138 |
+
bertimbau-large-essay-only-onlyB & 0.54 & 0.67 & 0.67 & 0.40 & 0.44 & 0.41 & 0.24 & 0.26 & 0.30 & 0.65 & 0.67 & 0.67 & 0.25 & 0.31 & 0.43 \\
|
| 139 |
+
\hline
|
| 140 |
+
bertugues-base-essay-only-avg(A,B) & 0.44 & 0.56 & 0.62 & 0.14 & 0.19 & 0.33 & 0.25 & 0.36 & 0.29 & 0.35 & 0.51 & 0.54 & 0.23 & 0.28 & 0.36 \\
|
| 141 |
+
bertugues-base-essay-only-concat(A,B) & 0.39 & 0.56 & 0.61 & 0.14 & 0.18 & 0.33 & 0.26 & 0.35 & 0.29 & 0.29 & 0.51 & 0.54 & 0.24 & 0.27 & 0.36 \\
|
| 142 |
+
bertugues-base-essay-only-onlyA & 0.35 & 0.53 & 0.54 & 0.14 & 0.29 & 0.34 & 0.22 & 0.36 & 0.29 & 0.37 & 0.50 & 0.50 & 0.24 & 0.31 & 0.37 \\
|
| 143 |
+
bertugues-base-essay-only-onlyB & 0.53 & 0.60 & 0.70 & 0.14 & 0.10 & 0.33 & 0.28 & 0.35 & 0.28 & 0.32 & 0.51 & 0.58 & 0.22 & 0.24 & 0.35 \\
|
| 144 |
+
\hline
|
| 145 |
+
mbert-base-essay-only-avg(A,B) & 0.40 & 0.59 & 0.52 & 0.18 & 0.27 & 0.22 & 0.25 & 0.32 & 0.35 & 0.35 & 0.55 & 0.50 & 0.08 & 0.09 & 0.00 \\
|
| 146 |
+
mbert-base-essay-only-concat(A,B) & 0.35 & 0.59 & 0.51 & 0.19 & 0.26 & 0.22 & 0.22 & 0.32 & 0.36 & 0.29 & 0.55 & 0.50 & 0.08 & 0.09 & 0.00 \\
|
| 147 |
+
mbert-base-essay-only-onlyA & 0.34 & 0.56 & 0.42 & 0.17 & 0.29 & 0.24 & 0.19 & 0.30 & 0.31 & 0.37 & 0.57 & 0.40 & 0.06 & 0.04 & 0.01 \\
|
| 148 |
+
mbert-base-essay-only-onlyB & 0.46 & 0.62 & 0.61 & 0.19 & 0.26 & 0.21 & 0.30 & 0.35 & 0.40 & 0.34 & 0.53 & 0.59 & 0.10 & 0.14 & -0.01 \\
|
| 149 |
+
\hline\hline
|
| 150 |
+
\end{tabular}%
|