metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_sh1_fr_13
results: []
cds_sh1_fr_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3153
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: 256
- eval_batch_size: 256
- seed: 13
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.0116 | 1.0 | 145 | 4.5236 |
| 4.17 | 2.0 | 290 | 4.0197 |
| 3.8789 | 3.0 | 435 | 3.7657 |
| 3.6772 | 4.0 | 580 | 3.6136 |
| 3.543 | 5.0 | 725 | 3.5115 |
| 3.452 | 6.0 | 870 | 3.4570 |
| 3.3816 | 7.0 | 1015 | 3.4129 |
| 3.3218 | 8.0 | 1160 | 3.3706 |
| 3.2718 | 9.0 | 1305 | 3.3446 |
| 3.2257 | 10.0 | 1450 | 3.3246 |
| 3.183 | 11.0 | 1595 | 3.3089 |
| 3.1406 | 12.0 | 1740 | 3.3020 |
| 3.1026 | 13.0 | 1885 | 3.2948 |
| 3.0634 | 14.0 | 2030 | 3.2939 |
| 3.027 | 15.0 | 2175 | 3.2949 |
| 2.9911 | 16.0 | 2320 | 3.2984 |
| 2.9584 | 17.0 | 2465 | 3.3019 |
| 2.9302 | 18.0 | 2610 | 3.3087 |
| 2.9069 | 19.0 | 2755 | 3.3121 |
| 2.8889 | 20.0 | 2900 | 3.3153 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0