myBit-Llama2-jp-127M-test-19
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5869
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: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
6.9142 | 0.07 | 200 | 5.0048 |
4.6131 | 0.15 | 400 | 4.5303 |
4.3182 | 0.22 | 600 | 4.3233 |
4.1397 | 0.29 | 800 | 4.1953 |
4.0202 | 0.37 | 1000 | 4.1018 |
3.9419 | 0.44 | 1200 | 4.0273 |
3.8671 | 0.51 | 1400 | 3.9556 |
3.7944 | 0.59 | 1600 | 3.8980 |
3.7371 | 0.66 | 1800 | 3.8217 |
3.6588 | 0.73 | 2000 | 3.7553 |
3.5954 | 0.81 | 2200 | 3.6957 |
3.5405 | 0.88 | 2400 | 3.6415 |
3.4793 | 0.95 | 2600 | 3.5869 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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