---
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