Training successful

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-multilingual-cased-finetuned-twitter_sentiment
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-base-multilingual-cased-finetuned-twitter_sentiment
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0045
+- F1-score: 0.9985
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1961        | 1.0   | 1080 | 0.0873          | 0.9819   |
+| 0.0918        | 2.0   | 2160 | 0.0252          | 0.9935   |
+| 0.0737        | 3.0   | 3240 | 0.0073          | 0.9985   |
+| 0.0298        | 4.0   | 4320 | 0.0087          | 0.9981   |
+| 0.01          | 5.0   | 5400 | 0.0045          | 0.9985   |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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