metadata
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-test-16
results: []
myBit-Llama2-jp-127M-test-16
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5029
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: 0.00024
- 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 |
|---|---|---|---|
| 9.0668 | 0.07 | 200 | 7.8313 |
| 6.9502 | 0.15 | 400 | 6.3292 |
| 5.8696 | 0.22 | 600 | 5.4250 |
| 5.285 | 0.3 | 800 | 5.1157 |
| 5.0167 | 0.37 | 1000 | 4.9604 |
| 4.9441 | 0.45 | 1200 | 4.9913 |
| 4.8204 | 0.52 | 1400 | 4.7712 |
| 4.7314 | 0.6 | 1600 | 4.7058 |
| 4.6562 | 0.67 | 1800 | 4.6503 |
| 4.5941 | 0.74 | 2000 | 4.5901 |
| 4.5479 | 0.82 | 2200 | 4.5508 |
| 4.5155 | 0.89 | 2400 | 4.5194 |
| 4.4939 | 0.97 | 2600 | 4.5029 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2