metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_2311_retrain_v19_iwt
results: []
md_mt5_2311_retrain_v19_iwt
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6818
- Bleu: 1.1458
- Gen Len: 18.8547
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 14.6802 | 1.0 | 635 | 5.8279 | 0.001 | 11.8701 |
| 6.5233 | 2.0 | 1270 | 2.4491 | 1.4911 | 15.5764 |
| 3.4983 | 3.0 | 1905 | 1.6292 | 2.1885 | 17.7457 |
| 2.1412 | 4.0 | 2540 | 1.3098 | 2.7626 | 18.6941 |
| 1.8999 | 5.0 | 3175 | 1.1263 | 1.0375 | 18.4476 |
| 1.7456 | 6.0 | 3810 | 0.9967 | 1.172 | 18.7098 |
| 1.6077 | 7.0 | 4445 | 0.8971 | 1.2144 | 18.7425 |
| 1.4144 | 8.0 | 5080 | 0.8289 | 1.1994 | 18.7866 |
| 1.342 | 9.0 | 5715 | 0.7807 | 1.1842 | 18.8138 |
| 1.3029 | 10.0 | 6350 | 0.7468 | 1.17 | 18.8524 |
| 1.2426 | 11.0 | 6985 | 0.7213 | 1.1513 | 18.8488 |
| 1.1793 | 12.0 | 7620 | 0.7024 | 1.1573 | 18.8516 |
| 1.1649 | 13.0 | 8255 | 0.6909 | 1.1472 | 18.8524 |
| 1.1419 | 14.0 | 8890 | 0.6837 | 1.1483 | 18.8535 |
| 1.1289 | 15.0 | 9525 | 0.6818 | 1.1458 | 18.8547 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0