---
license: mit
base_model: haryoaw/scenario-MDBT-TCR_data-cl-cardiff_cl_only
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only55
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only55

This model is a fine-tuned version of [haryoaw/scenario-MDBT-TCR_data-cl-cardiff_cl_only](https://huggingface.co/haryoaw/scenario-MDBT-TCR_data-cl-cardiff_cl_only) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 39.4604
- Accuracy: 0.4537
- F1: 0.4426

## 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: 55
- 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  | 24.2103         | 0.4616   | 0.4518 |
| No log        | 3.45  | 200  | 29.3271         | 0.4255   | 0.3714 |
| No log        | 5.17  | 300  | 29.8979         | 0.4489   | 0.4414 |
| No log        | 6.9   | 400  | 31.7211         | 0.4669   | 0.4627 |
| 15.3839       | 8.62  | 500  | 37.0421         | 0.4581   | 0.4492 |
| 15.3839       | 10.34 | 600  | 32.5884         | 0.4669   | 0.4658 |
| 15.3839       | 12.07 | 700  | 39.9517         | 0.4493   | 0.4332 |
| 15.3839       | 13.79 | 800  | 38.5249         | 0.4630   | 0.4470 |
| 15.3839       | 15.52 | 900  | 38.7918         | 0.4414   | 0.4286 |
| 2.5437        | 17.24 | 1000 | 40.0345         | 0.4524   | 0.4391 |
| 2.5437        | 18.97 | 1100 | 38.3918         | 0.4612   | 0.4527 |
| 2.5437        | 20.69 | 1200 | 41.3974         | 0.4396   | 0.4169 |
| 2.5437        | 22.41 | 1300 | 38.7372         | 0.4603   | 0.4532 |
| 2.5437        | 24.14 | 1400 | 40.1541         | 0.4405   | 0.4288 |
| 1.0429        | 25.86 | 1500 | 40.0459         | 0.4568   | 0.4383 |
| 1.0429        | 27.59 | 1600 | 39.3779         | 0.4590   | 0.4457 |
| 1.0429        | 29.31 | 1700 | 39.4604         | 0.4537   | 0.4426 |


### Framework versions

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