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# scenario-TCR-data-glue-qqp-model-bert-base-uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4116
- Accuracy: 0.8662
- F1: 0.8200

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|
| 0.2706        | 1.0   | 11370  | 0.2609          | 0.8919   | 0.8607 |
| 0.2235        | 2.0   | 22740  | 0.2489          | 0.8961   | 0.8603 |
| 0.1795        | 3.0   | 34110  | 0.3085          | 0.8962   | 0.8639 |
| 0.1498        | 4.0   | 45481  | 0.3036          | 0.8970   | 0.8653 |
| 0.1351        | 5.0   | 56851  | 0.3373          | 0.8953   | 0.8613 |
| 0.1417        | 6.0   | 68221  | 0.3182          | 0.8901   | 0.8503 |
| 0.1448        | 7.0   | 79591  | 0.4288          | 0.8837   | 0.8434 |
| 0.177         | 8.0   | 90962  | 0.3822          | 0.8778   | 0.8321 |
| 0.3083        | 9.0   | 102332 | 0.4116          | 0.8662   | 0.8200 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "scenario-TCR-data-glue-qqp-model-bert-base-uncased", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us