
<!-- 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. -->

# scenario-TCR-data-glue-rte-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: 1.6164
- Accuracy: 0.6823

## 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: 32
- eval_batch_size: 32
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 78   | 0.6217          | 0.6643   |
| No log        | 2.0   | 156  | 0.6201          | 0.7040   |
| No log        | 3.0   | 234  | 0.8062          | 0.7184   |
| No log        | 4.0   | 312  | 1.0682          | 0.6787   |
| No log        | 5.0   | 390  | 1.5128          | 0.6715   |
| No log        | 6.0   | 468  | 1.5202          | 0.6751   |
| 0.2557        | 7.0   | 546  | 1.9066          | 0.6606   |
| 0.2557        | 8.0   | 624  | 1.6164          | 0.6823   |


### 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"], "base_model": "bert-base-uncased", "model-index": [{"name": "scenario-TCR-data-glue-rte-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