---
tags:
- generated_from_trainer
model-index:
- name: tcr-bert-finetuned-tchard
  results: []
---

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# tcr-bert-finetuned-tchard

This model is a fine-tuned version of [wukevin/tcr-bert](https://huggingface.co/wukevin/tcr-bert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7212

## 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
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1140 | 0.7503          |
| 0.8748        | 2.0   | 2280 | 0.7251          |
| 0.7445        | 3.0   | 3420 | 0.7235          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3