End of training

README.md

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+---
+base_model: jiangg/chembert_cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: chembert_cased-tokenCLS-BATTERY
+  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. -->
+
+# chembert_cased-tokenCLS-BATTERY
+
+This model is a fine-tuned version of [jiangg/chembert_cased](https://huggingface.co/jiangg/chembert_cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0640
+- Precision: 0.7172
+- Recall: 0.8558
+- F1: 0.7804
+- Accuracy: 0.9794
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 338  | 0.0771          | 0.6907    | 0.7945 | 0.7389 | 0.9730   |
+| 0.1448        | 2.0   | 676  | 0.0617          | 0.6957    | 0.8344 | 0.7587 | 0.9777   |
+| 0.0477        | 3.0   | 1014 | 0.0640          | 0.7172    | 0.8558 | 0.7804 | 0.9794   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3