A-glu-linear-46L
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0422
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: 0.001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 512
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 12.1645 | 0.0270 | 50 | 5.8479 |
| 10.5654 | 0.0539 | 100 | 5.0850 |
| 9.3252 | 0.0809 | 150 | 4.4189 |
| 8.0606 | 0.1078 | 200 | 3.9415 |
| 7.5172 | 0.1348 | 250 | 3.6139 |
| 6.7608 | 0.1618 | 300 | 3.3349 |
| 6.3626 | 0.1887 | 350 | 3.0817 |
| 5.8267 | 0.2157 | 400 | 2.8769 |
| 5.5577 | 0.2427 | 450 | 2.7150 |
| 5.1979 | 0.2696 | 500 | 2.5881 |
| 5.0257 | 0.2966 | 550 | 2.4825 |
| 4.8073 | 0.3235 | 600 | 2.3988 |
| 4.6867 | 0.3505 | 650 | 2.3180 |
| 4.5310 | 0.3775 | 700 | 2.2552 |
| 4.4490 | 0.4044 | 750 | 2.2072 |
| 4.3345 | 0.4314 | 800 | 2.1641 |
| 4.2768 | 0.4583 | 850 | 2.1301 |
| 4.1870 | 0.4853 | 900 | 2.0952 |
| 4.1466 | 0.5123 | 950 | 2.0662 |
| 4.0888 | 0.5392 | 1000 | 2.0422 |
Framework versions
- Transformers 5.15.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 5.0.1
- Tokenizers 0.22.2
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