metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: byt5-small-finetuned-English-to-BASH
results: []
byt5-small-finetuned-English-to-BASH
This model is a fine-tuned version of google/byt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 3.8867
- Gen Len: 19.0
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: 0.0001
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 387 | nan | 3.8867 | 19.0 |
| 0.0 | 2.0 | 774 | nan | 3.8867 | 19.0 |
| 0.0 | 3.0 | 1161 | nan | 3.8867 | 19.0 |
| 0.0 | 4.0 | 1548 | nan | 3.8867 | 19.0 |
| 0.0 | 5.0 | 1935 | nan | 3.8867 | 19.0 |
| 0.0 | 6.0 | 2322 | nan | 3.8867 | 19.0 |
| 0.0 | 7.0 | 2709 | nan | 3.8867 | 19.0 |
| 0.0 | 8.0 | 3096 | nan | 3.8867 | 19.0 |
| 0.0 | 9.0 | 3483 | nan | 3.8867 | 19.0 |
| 0.0 | 10.0 | 3870 | nan | 3.8867 | 19.0 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2