---
license: mit
base_model: haryoaw/scenario-TCR_data-cl-cardiff_cl_only2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_delta-jason
  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. -->

# scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_delta-jason

This model is a fine-tuned version of [haryoaw/scenario-TCR_data-cl-cardiff_cl_only2](https://huggingface.co/haryoaw/scenario-TCR_data-cl-cardiff_cl_only2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 16.2614
- Accuracy: 0.3911
- F1: 0.3741

## 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: 7777
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.72  | 100  | 12.7454         | 0.3338   | 0.1921 |
| No log        | 3.45  | 200  | 12.5764         | 0.3792   | 0.3477 |
| No log        | 5.17  | 300  | 12.7859         | 0.3911   | 0.3622 |
| No log        | 6.9   | 400  | 12.6337         | 0.3955   | 0.3966 |
| 12.945        | 8.62  | 500  | 13.0332         | 0.3920   | 0.3842 |
| 12.945        | 10.34 | 600  | 13.7887         | 0.3955   | 0.3882 |
| 12.945        | 12.07 | 700  | 14.4400         | 0.3924   | 0.3773 |
| 12.945        | 13.79 | 800  | 15.9912         | 0.3805   | 0.3378 |
| 12.945        | 15.52 | 900  | 15.2262         | 0.3902   | 0.3688 |
| 8.3121        | 17.24 | 1000 | 14.6109         | 0.3968   | 0.3856 |
| 8.3121        | 18.97 | 1100 | 15.0076         | 0.3990   | 0.3777 |
| 8.3121        | 20.69 | 1200 | 15.1415         | 0.4012   | 0.3918 |
| 8.3121        | 22.41 | 1300 | 15.4897         | 0.4096   | 0.3931 |
| 8.3121        | 24.14 | 1400 | 16.0139         | 0.4021   | 0.3922 |
| 5.8446        | 25.86 | 1500 | 15.8831         | 0.4008   | 0.3849 |
| 5.8446        | 27.59 | 1600 | 16.0754         | 0.3915   | 0.3708 |
| 5.8446        | 29.31 | 1700 | 16.2614         | 0.3911   | 0.3741 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3