Model save

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: ontochem_biobert_cross_valid_3
+ 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. -->
+
+# ontochem_biobert_cross_valid_3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0531
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log | 1.0 | 5 | 0.0519 |
+| No log | 2.0 | 10 | 0.0518 |
+| No log | 3.0 | 15 | 0.0516 |
+| No log | 4.0 | 20 | 0.0516 |
+| No log | 5.0 | 25 | 0.0516 |
+| No log | 6.0 | 30 | 0.0518 |
+| No log | 7.0 | 35 | 0.0522 |
+| No log | 8.0 | 40 | 0.0526 |
+| No log | 9.0 | 45 | 0.0529 |
+| No log | 10.0 | 50 | 0.0531 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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