myBit-Llama2-jp-127M-2B4TLike
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.9064
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: 0.0024
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 750
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
5.5863 | 0.0485 | 500 | 4.1196 |
3.6525 | 0.0971 | 1000 | 3.4908 |
3.3021 | 0.1456 | 1500 | 3.2915 |
3.1654 | 0.1942 | 2000 | 3.1933 |
3.0956 | 0.2427 | 2500 | 3.1410 |
3.049 | 0.2913 | 3000 | 3.1199 |
2.9894 | 0.3398 | 3500 | 3.1277 |
2.9502 | 0.3884 | 4000 | 3.0834 |
2.9436 | 0.4369 | 4500 | 3.0831 |
2.922 | 0.4855 | 5000 | 3.1344 |
2.9031 | 0.5340 | 5500 | 3.1086 |
2.8728 | 0.5826 | 6000 | 3.1801 |
2.8516 | 0.6311 | 6500 | 3.2534 |
2.822 | 0.6796 | 7000 | 3.3787 |
2.7995 | 0.7282 | 7500 | 3.5255 |
2.7703 | 0.7767 | 8000 | 3.8455 |
2.7304 | 0.8253 | 8500 | 4.3736 |
2.6836 | 0.8738 | 9000 | 5.1791 |
2.6269 | 0.9224 | 9500 | 6.1786 |
2.5171 | 0.9709 | 10000 | 7.9064 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
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