metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- es2bash
model-index:
- name: es2bash-mt5
results: []
es2bash-mt5
This model is a fine-tuned version of google/mt5-small on the es2bash dataset. It achieves the following results on the evaluation set:
- Loss: 0.0928
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: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 21.394 | 1.0 | 672 | 1.7470 |
| 2.5294 | 2.0 | 1344 | 0.6350 |
| 0.5873 | 3.0 | 2016 | 0.2996 |
| 0.3802 | 4.0 | 2688 | 0.2142 |
| 0.2951 | 5.0 | 3360 | 0.1806 |
| 0.225 | 6.0 | 4032 | 0.1565 |
| 0.2065 | 7.0 | 4704 | 0.1461 |
| 0.1944 | 8.0 | 5376 | 0.1343 |
| 0.174 | 9.0 | 6048 | 0.1281 |
| 0.1647 | 10.0 | 6720 | 0.1207 |
| 0.1566 | 11.0 | 7392 | 0.1140 |
| 0.1498 | 12.0 | 8064 | 0.1106 |
| 0.1382 | 13.0 | 8736 | 0.1076 |
| 0.1393 | 14.0 | 9408 | 0.1042 |
| 0.1351 | 15.0 | 10080 | 0.1019 |
| 0.13 | 16.0 | 10752 | 0.0998 |
| 0.1292 | 17.0 | 11424 | 0.0983 |
| 0.1265 | 18.0 | 12096 | 0.0973 |
| 0.1255 | 19.0 | 12768 | 0.0969 |
| 0.1216 | 20.0 | 13440 | 0.0956 |
| 0.1216 | 21.0 | 14112 | 0.0946 |
| 0.123 | 22.0 | 14784 | 0.0938 |
| 0.113 | 23.0 | 15456 | 0.0931 |
| 0.1185 | 24.0 | 16128 | 0.0929 |
| 0.1125 | 25.0 | 16800 | 0.0928 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3