metadata
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-3
results: []
myBit-Llama2-jp-127M-3
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8396
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: 5000
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.9048 | 0.05 | 2000 | 4.7602 |
| 4.4421 | 0.1 | 4000 | 4.2117 |
| 4.0625 | 0.15 | 6000 | 3.9227 |
| 3.807 | 0.2 | 8000 | 3.7181 |
| 3.6547 | 0.25 | 10000 | 3.5929 |
| 3.5296 | 0.29 | 12000 | 3.4812 |
| 3.4492 | 0.34 | 14000 | 3.4236 |
| 3.4065 | 0.39 | 16000 | 3.3923 |
| 3.3816 | 0.44 | 18000 | 3.3778 |
| 3.3815 | 0.49 | 20000 | 3.3907 |
| 3.431 | 0.54 | 22000 | 3.4870 |
| 3.5507 | 0.59 | 24000 | 3.5969 |
| 3.6557 | 0.64 | 26000 | 3.6918 |
| 3.715 | 0.69 | 28000 | 3.7377 |
| 3.7646 | 0.74 | 30000 | 3.7620 |
| 3.8005 | 0.79 | 32000 | 3.8221 |
| 3.8288 | 0.83 | 34000 | 3.8550 |
| 3.8552 | 0.88 | 36000 | 3.8449 |
| 3.8591 | 0.93 | 38000 | 3.8483 |
| 3.8452 | 0.98 | 40000 | 3.8396 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2