Model save
Browse files- README.md +11 -11
- all_results.json +15 -15
- config.json +2 -2
- eval_results.json +12 -12
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +3 -3
- trainer_state.json +961 -961
- training_args.bin +1 -1
README.md
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Logits/chosen: -
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- Logits/rejected: -
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- Logps/chosen: -
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- Logps/rejected: -
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- Loss: 0.
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- Rewards/accuracies: 0.
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- Rewards/chosen: -
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- Rewards/margins: 1.
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- Rewards/rejected: -
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## Model description
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@@ -62,8 +62,8 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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|:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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### Framework versions
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Logits/chosen: -0.5950
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- Logits/rejected: -0.4472
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- Logps/chosen: -426.8990
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- Logps/rejected: -545.3427
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- Loss: 0.5225
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- Rewards/accuracies: 0.7734
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- Rewards/chosen: -1.5476
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- Rewards/margins: 1.1972
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- Rewards/rejected: -2.7448
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## Model description
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| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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|:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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| 0.501 | 0.9984 | 477 | -1.2732 | -1.1615 | -346.5501 | -435.7064 | 0.5185 | 0.7773 | -0.7441 | 0.9044 | -1.6484 |
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| 0.3187 | 1.9969 | 954 | -0.5950 | -0.4472 | -426.8990 | -545.3427 | 0.5225 | 0.7734 | -1.5476 | 1.1972 | -2.7448 |
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### Framework versions
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all_results.json
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{
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"epoch": 1.9968602825745683,
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"eval_logits/chosen": -
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"eval_logits/rejected": -
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"eval_loss": 1.
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"eval_samples": 2000,
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"eval_samples_per_second":
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"total_flos": 0.0,
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"train_loss": 0.0,
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"train_runtime": 3.
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"train_samples": 61134,
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{
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"eval_loss": 1.1966235637664795,
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"eval_rewards/accuracies": 0.7734375,
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"eval_rewards/chosen": -7.737778663635254,
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"eval_rewards/margins": 5.986159324645996,
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"eval_rewards/rejected": -13.723937034606934,
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"eval_runtime": 182.4829,
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"eval_samples": 2000,
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"eval_samples_per_second": 10.96,
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"eval_steps_per_second": 0.175,
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"total_flos": 0.0,
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"train_loss": 0.0,
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"train_runtime": 3.4239,
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"train_samples": 61134,
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"train_samples_per_second": 17855.176,
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"train_steps_per_second": 139.316
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}
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config.json
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{
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"_name_or_path": "data/sft/zephyr-7b-sft-1e-every25/checkpoint-
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"architectures": [
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"MistralForCausalLM"
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],
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.2",
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"use_cache":
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"vocab_size": 32000
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}
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{
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"_name_or_path": "data/sft/zephyr-7b-sft-1e-every25/checkpoint-700",
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"architectures": [
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"MistralForCausalLM"
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],
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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eval_results.json
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"eval_runtime": 182.4829,
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"eval_samples": 2000,
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"eval_samples_per_second": 10.96,
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model-00001-of-00003.safetensors
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model-00002-of-00003.safetensors
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train_results.json
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trainer_state.json
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