---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exercise_model
  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. -->

# exercise_model

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7260
- Accuracy: 0.45

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 5    | 5.9810          | 0.0      |
| No log        | 2.0   | 10   | 4.8367          | 0.1      |
| No log        | 3.0   | 15   | 4.2524          | 0.2      |
| No log        | 4.0   | 20   | 3.7825          | 0.3      |
| No log        | 5.0   | 25   | 3.4538          | 0.5      |
| No log        | 6.0   | 30   | 3.1687          | 0.5      |
| No log        | 7.0   | 35   | 2.8498          | 0.5      |
| No log        | 8.0   | 40   | 2.4818          | 0.5      |
| No log        | 9.0   | 45   | 2.2022          | 0.5      |
| No log        | 10.0  | 50   | 2.0670          | 0.45     |
| No log        | 11.0  | 55   | 1.9735          | 0.45     |
| No log        | 12.0  | 60   | 1.9018          | 0.45     |
| No log        | 13.0  | 65   | 1.8420          | 0.4      |
| No log        | 14.0  | 70   | 1.7969          | 0.4      |
| No log        | 15.0  | 75   | 1.7639          | 0.45     |
| No log        | 16.0  | 80   | 1.7433          | 0.45     |
| No log        | 17.0  | 85   | 1.7305          | 0.45     |
| No log        | 18.0  | 90   | 1.7260          | 0.45     |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1