cds_o_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7811
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: 42
- 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 |
|---|---|---|---|
| 4.4941 | 1.0 | 496 | 3.2923 |
| 3.0413 | 2.0 | 992 | 2.9782 |
| 2.8102 | 3.0 | 1488 | 2.8686 |
| 2.6891 | 4.0 | 1984 | 2.8072 |
| 2.6052 | 5.0 | 2480 | 2.7683 |
| 2.5395 | 6.0 | 2976 | 2.7413 |
| 2.4828 | 7.0 | 3472 | 2.7251 |
| 2.4322 | 8.0 | 3968 | 2.7148 |
| 2.3849 | 9.0 | 4464 | 2.7071 |
| 2.3401 | 10.0 | 4960 | 2.7079 |
| 2.2972 | 11.0 | 5456 | 2.7084 |
| 2.2562 | 12.0 | 5952 | 2.7148 |
| 2.217 | 13.0 | 6448 | 2.7239 |
| 2.1795 | 14.0 | 6944 | 2.7321 |
| 2.1431 | 15.0 | 7440 | 2.7408 |
| 2.111 | 16.0 | 7936 | 2.7535 |
| 2.0833 | 17.0 | 8432 | 2.7617 |
| 2.059 | 18.0 | 8928 | 2.7704 |
| 2.0384 | 19.0 | 9424 | 2.7765 |
| 2.0226 | 20.0 | 9920 | 2.7811 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0