metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-poem
results: []
t5-small-finetuned-poem
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1360
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: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 282 | 0.1745 |
| 0.2047 | 2.0 | 564 | 0.1575 |
| 0.2047 | 3.0 | 846 | 0.1455 |
| 0.1506 | 4.0 | 1128 | 0.1429 |
| 0.1506 | 5.0 | 1410 | 0.1398 |
| 0.1383 | 6.0 | 1692 | 0.1385 |
| 0.1383 | 7.0 | 1974 | 0.1369 |
| 0.1328 | 8.0 | 2256 | 0.1417 |
| 0.1292 | 9.0 | 2538 | 0.1383 |
| 0.1292 | 10.0 | 2820 | 0.1370 |
| 0.1259 | 11.0 | 3102 | 0.1364 |
| 0.1259 | 12.0 | 3384 | 0.1342 |
| 0.1253 | 13.0 | 3666 | 0.1335 |
| 0.1253 | 14.0 | 3948 | 0.1315 |
| 0.1218 | 15.0 | 4230 | 0.1408 |
| 0.1223 | 16.0 | 4512 | 0.1337 |
| 0.1223 | 17.0 | 4794 | 0.1323 |
| 0.1204 | 18.0 | 5076 | 0.1372 |
| 0.1204 | 19.0 | 5358 | 0.1330 |
| 0.1202 | 20.0 | 5640 | 0.1378 |
| 0.1202 | 21.0 | 5922 | 0.1405 |
| 0.1191 | 22.0 | 6204 | 0.1386 |
| 0.1191 | 23.0 | 6486 | 0.1376 |
| 0.1193 | 24.0 | 6768 | 0.1343 |
| 0.1185 | 25.0 | 7050 | 0.1360 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1