metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t5-base-finetuned-poemV2
results: []
t5-base-finetuned-poemV2
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1041
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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 282 | 0.1235 |
| 0.1391 | 2.0 | 564 | 0.1177 |
| 0.1391 | 3.0 | 846 | 0.1142 |
| 0.1209 | 4.0 | 1128 | 0.1133 |
| 0.1209 | 5.0 | 1410 | 0.1106 |
| 0.1141 | 6.0 | 1692 | 0.1137 |
| 0.1141 | 7.0 | 1974 | 0.1099 |
| 0.1113 | 8.0 | 2256 | 0.1059 |
| 0.1088 | 9.0 | 2538 | 0.1064 |
| 0.1088 | 10.0 | 2820 | 0.1070 |
| 0.1087 | 11.0 | 3102 | 0.1059 |
| 0.1087 | 12.0 | 3384 | 0.1054 |
| 0.1059 | 13.0 | 3666 | 0.1053 |
| 0.1059 | 14.0 | 3948 | 0.1050 |
| 0.1052 | 15.0 | 4230 | 0.1057 |
| 0.1049 | 16.0 | 4512 | 0.1044 |
| 0.1049 | 17.0 | 4794 | 0.1049 |
| 0.1035 | 18.0 | 5076 | 0.1044 |
| 0.1035 | 19.0 | 5358 | 0.1039 |
| 0.1034 | 20.0 | 5640 | 0.1041 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1