llama381binstruct_summarize_short
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: 2.4530
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 |
---|---|---|---|
1.6176 | 1.25 | 25 | 1.4646 |
0.7045 | 2.5 | 50 | 1.5828 |
0.3188 | 3.75 | 75 | 1.7073 |
0.1796 | 5.0 | 100 | 1.8367 |
0.0882 | 6.25 | 125 | 2.0182 |
0.038 | 7.5 | 150 | 2.3088 |
0.0196 | 8.75 | 175 | 2.2476 |
0.0256 | 10.0 | 200 | 2.1310 |
0.0117 | 11.25 | 225 | 2.1974 |
0.0066 | 12.5 | 250 | 2.2862 |
0.0058 | 13.75 | 275 | 2.3694 |
0.0071 | 15.0 | 300 | 2.2468 |
0.0063 | 16.25 | 325 | 2.2986 |
0.0031 | 17.5 | 350 | 2.3789 |
0.0024 | 18.75 | 375 | 2.4145 |
0.003 | 20.0 | 400 | 2.4298 |
0.0025 | 21.25 | 425 | 2.4402 |
0.0021 | 22.5 | 450 | 2.4474 |
0.0022 | 23.75 | 475 | 2.4513 |
0.0019 | 25.0 | 500 | 2.4530 |
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_short
Base model
NousResearch/Meta-Llama-3.1-8B-Instruct