Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bert-clf-biencoder-cross_entropy
+  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-clf-biencoder-cross_entropy
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9480
+- Accuracy: 0.6634
+- F1: 0.6648
+- Precision: 0.6687
+- Recall: 0.6634
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.1883        | 1.0   | 78   | 1.0551          | 0.6019   | 0.5890 | 0.5964    | 0.6019 |
+| 0.859         | 2.0   | 156  | 0.8377          | 0.6311   | 0.6231 | 0.6472    | 0.6311 |
+| 0.6539        | 3.0   | 234  | 0.7989          | 0.6634   | 0.6651 | 0.6677    | 0.6634 |
+| 0.5242        | 4.0   | 312  | 0.8181          | 0.6731   | 0.6717 | 0.6823    | 0.6731 |
+| 0.3728        | 5.0   | 390  | 0.8442          | 0.6861   | 0.6855 | 0.6889    | 0.6861 |
+| 0.2566        | 6.0   | 468  | 0.9040          | 0.6764   | 0.6769 | 0.6779    | 0.6764 |
+| 0.1959        | 7.0   | 546  | 0.9480          | 0.6634   | 0.6648 | 0.6687    | 0.6634 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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