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# asl_spoken

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6629
- Bleu: 23.0804
- Gen Len: 9.9231

## 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: 75

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 7    | 5.2145          | 0.0     | 16.9231 |
| No log        | 2.0   | 14   | 4.3949          | 0.0     | 16.8462 |
| No log        | 3.0   | 21   | 3.6314          | 0.0     | 16.8462 |
| No log        | 4.0   | 28   | 2.9846          | 0.0     | 16.8462 |
| No log        | 5.0   | 35   | 2.6728          | 0.0     | 16.8462 |
| No log        | 6.0   | 42   | 2.5262          | 4.9145  | 11.4615 |
| No log        | 7.0   | 49   | 2.4560          | 5.4948  | 9.2308  |
| No log        | 8.0   | 56   | 2.4206          | 7.1642  | 9.0769  |
| No log        | 9.0   | 63   | 2.3394          | 8.0363  | 9.2308  |
| No log        | 10.0  | 70   | 2.2440          | 11.4465 | 9.5385  |
| No log        | 11.0  | 77   | 2.1210          | 11.182  | 9.4615  |
| No log        | 12.0  | 84   | 1.9717          | 11.0827 | 9.7692  |
| No log        | 13.0  | 91   | 1.8606          | 10.3812 | 9.6154  |
| No log        | 14.0  | 98   | 1.7645          | 9.6839  | 9.8462  |
| No log        | 15.0  | 105  | 1.7288          | 11.584  | 9.9231  |
| No log        | 16.0  | 112  | 1.6721          | 10.1786 | 10.1538 |
| No log        | 17.0  | 119  | 1.6184          | 10.8287 | 10.0769 |
| No log        | 18.0  | 126  | 1.5682          | 17.8911 | 10.0769 |
| No log        | 19.0  | 133  | 1.5327          | 18.1914 | 10.1538 |
| No log        | 20.0  | 140  | 1.5073          | 18.6124 | 10.3846 |
| No log        | 21.0  | 147  | 1.4857          | 18.1328 | 10.5385 |
| No log        | 22.0  | 154  | 1.4708          | 19.8858 | 10.0    |
| No log        | 23.0  | 161  | 1.4519          | 18.7205 | 10.0769 |
| No log        | 24.0  | 168  | 1.4271          | 19.8858 | 9.9231  |
| No log        | 25.0  | 175  | 1.4075          | 21.1752 | 9.8462  |
| No log        | 26.0  | 182  | 1.3879          | 15.9044 | 9.7692  |
| No log        | 27.0  | 189  | 1.3714          | 20.5301 | 10.0    |
| No log        | 28.0  | 196  | 1.3621          | 14.6196 | 10.0    |
| No log        | 29.0  | 203  | 1.3529          | 21.2221 | 9.7692  |
| No log        | 30.0  | 210  | 1.3452          | 20.776  | 9.9231  |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/bart-large", "model-index": [{"name": "asl_spoken", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:facebook/bart-large license:apache-2.0 region:us