metadata
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-small
results: []
mt5-small
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7308
- Bleu: 0.0181
- Gen Len: 27.656
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 377 | 10.5974 | 0.0027 | 128.0 |
| 16.889 | 2.0 | 754 | 6.2000 | 0.0006 | 127.762 |
| 8.7035 | 3.0 | 1131 | 4.2664 | 0.0024 | 48.7383 |
| 5.0692 | 4.0 | 1508 | 3.3315 | 0.0103 | 30.2219 |
| 5.0692 | 5.0 | 1885 | 2.8775 | 0.0202 | 27.7363 |
| 3.7431 | 6.0 | 2262 | 2.7308 | 0.0181 | 27.656 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1