update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: prot_bert_classification_finetuned_karolina_es_10e
+  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. -->
+
+# prot_bert_classification_finetuned_karolina_es_10e
+
+This model is a fine-tuned version of [nepp1d0/prot_bert-finetuned-smiles-bindingDB](https://huggingface.co/nepp1d0/prot_bert-finetuned-smiles-bindingDB) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6840
+- Accuracy: 0.88
+- F1: 0.9362
+- Precision: 1.0
+- Recall: 0.88
+
+## 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-06
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 3
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 4    | 0.7082          | 0.02     | 0.0392 | 1.0       | 0.02   |
+| No log        | 2.0   | 8    | 0.7073          | 0.04     | 0.0769 | 1.0       | 0.04   |
+| No log        | 3.0   | 12   | 0.7060          | 0.04     | 0.0769 | 1.0       | 0.04   |
+| No log        | 4.0   | 16   | 0.7047          | 0.04     | 0.0769 | 1.0       | 0.04   |
+| No log        | 5.0   | 20   | 0.7034          | 0.08     | 0.1481 | 1.0       | 0.08   |
+| No log        | 6.0   | 24   | 0.7008          | 0.22     | 0.3607 | 1.0       | 0.22   |
+| No log        | 7.0   | 28   | 0.6976          | 0.22     | 0.3607 | 1.0       | 0.22   |
+| No log        | 8.0   | 32   | 0.6933          | 0.3      | 0.4615 | 1.0       | 0.3    |
+| No log        | 9.0   | 36   | 0.6893          | 0.6      | 0.7500 | 1.0       | 0.6    |
+| No log        | 10.0  | 40   | 0.6840          | 0.88     | 0.9362 | 1.0       | 0.88   |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.11.0
+- Datasets 2.6.1
+- Tokenizers 0.13.1