llama381binstruct_summarize
This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.7355
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6918 | 1.3158 | 25 | 1.6215 |
| 0.6871 | 2.6316 | 50 | 1.6851 |
| 0.3017 | 3.9474 | 75 | 1.8694 |
| 0.1642 | 5.2632 | 100 | 2.2410 |
| 0.0667 | 6.5789 | 125 | 2.2806 |
| 0.0352 | 7.8947 | 150 | 2.4889 |
| 0.0292 | 9.2105 | 175 | 2.5073 |
| 0.0117 | 10.5263 | 200 | 2.5430 |
| 0.0111 | 11.8421 | 225 | 2.5160 |
| 0.0101 | 13.1579 | 250 | 2.5102 |
| 0.0083 | 14.4737 | 275 | 2.5176 |
| 0.0033 | 15.7895 | 300 | 2.5635 |
| 0.0028 | 17.1053 | 325 | 2.6311 |
| 0.0022 | 18.4211 | 350 | 2.6684 |
| 0.0016 | 19.7368 | 375 | 2.6933 |
| 0.0021 | 21.0526 | 400 | 2.7102 |
| 0.0019 | 22.3684 | 425 | 2.7220 |
| 0.0016 | 23.6842 | 450 | 2.7295 |
| 0.0018 | 25.0 | 475 | 2.7339 |
| 0.0017 | 26.3158 | 500 | 2.7355 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for llm-wizard/llama381binstruct_summarize
Base model
NousResearch/Meta-Llama-3.1-8B-Instruct