End of training

README.md

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+---
+base_model: jonas-luehrs/chembert_cased-MLM-chemistry
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: chembert_cased-MLM-chemistry-tokenCLS-CATALYST
+  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-MLM-chemistry-tokenCLS-CATALYST
+
+This model is a fine-tuned version of [jonas-luehrs/chembert_cased-MLM-chemistry](https://huggingface.co/jonas-luehrs/chembert_cased-MLM-chemistry) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0604
+- Precision: 0.6774
+- Recall: 0.8522
+- F1: 0.7548
+- Accuracy: 0.9788
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0829        | 1.0   | 1114 | 0.0814          | 0.5368    | 0.7826 | 0.6368 | 0.9707   |
+| 0.0556        | 2.0   | 2228 | 0.0763          | 0.6197    | 0.8928 | 0.7316 | 0.9771   |
+| 0.045         | 3.0   | 3342 | 0.0604          | 0.6774    | 0.8522 | 0.7548 | 0.9788   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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