---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-copa
  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. -->

# fresh-2-layer-copa

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3801
- Accuracy: 0.2980

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 63   | 1.3862          | 0.2071   |
| No log        | 2.0   | 126  | 1.3862          | 0.2071   |
| No log        | 3.0   | 189  | 1.3862          | 0.2525   |
| No log        | 4.0   | 252  | 1.3862          | 0.2374   |
| No log        | 5.0   | 315  | 1.3859          | 0.2626   |
| No log        | 6.0   | 378  | 1.3863          | 0.2071   |
| No log        | 7.0   | 441  | 1.3865          | 0.2778   |
| 0.6953        | 8.0   | 504  | 1.3861          | 0.2778   |
| 0.6953        | 9.0   | 567  | 1.3857          | 0.2071   |
| 0.6953        | 10.0  | 630  | 1.3859          | 0.2525   |
| 0.6953        | 11.0  | 693  | 1.3863          | 0.2475   |
| 0.6953        | 12.0  | 756  | 1.3863          | 0.2778   |
| 0.6953        | 13.0  | 819  | 1.3863          | 0.2576   |
| 0.6953        | 14.0  | 882  | 1.3834          | 0.2778   |
| 0.6953        | 15.0  | 945  | 1.3865          | 0.2576   |
| 0.6897        | 16.0  | 1008 | 1.3856          | 0.2677   |
| 0.6897        | 17.0  | 1071 | 1.3912          | 0.2273   |
| 0.6897        | 18.0  | 1134 | 1.3801          | 0.2980   |
| 0.6897        | 19.0  | 1197 | 1.3878          | 0.2020   |
| 0.6897        | 20.0  | 1260 | 1.3961          | 0.2525   |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0