metadata
library_name: transformers
base_model: zera09/custom-longt5-with-ts
tags:
- generated_from_trainer
model-index:
- name: segment_mask_token
results: []
segment_mask_token
This model is a fine-tuned version of zera09/custom-longt5-with-ts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0534
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 72 | 4.5285 |
| 22.2051 | 2.0 | 144 | 0.8669 |
| 1.706 | 3.0 | 216 | 0.3556 |
| 1.706 | 4.0 | 288 | 0.1894 |
| 0.5941 | 5.0 | 360 | 0.1507 |
| 0.4187 | 6.0 | 432 | 0.1210 |
| 0.3811 | 7.0 | 504 | 0.0993 |
| 0.3811 | 8.0 | 576 | 0.0951 |
| 0.2151 | 9.0 | 648 | 0.0768 |
| 0.1378 | 10.0 | 720 | 0.0748 |
| 0.1378 | 11.0 | 792 | 0.0650 |
| 0.093 | 12.0 | 864 | 0.0660 |
| 0.0965 | 13.0 | 936 | 0.0632 |
| 0.0839 | 14.0 | 1008 | 0.0562 |
| 0.0839 | 15.0 | 1080 | 0.0576 |
| 0.0834 | 16.0 | 1152 | 0.0569 |
| 0.0795 | 17.0 | 1224 | 0.0560 |
| 0.0795 | 18.0 | 1296 | 0.0524 |
| 0.0752 | 19.0 | 1368 | 0.0539 |
| 0.1185 | 20.0 | 1440 | 0.0534 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0