LangGPT
This model is a fine-tuned version of /datas/huggingface/Meta-Llama-3-8B-Instruct on the LangGPT dataset. It achieves the following results on the evaluation set:
- Loss: 0.7564
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 9.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8441 | 1.25 | 100 | 0.8462 |
| 0.7829 | 2.5 | 200 | 0.7942 |
| 0.747 | 3.75 | 300 | 0.7737 |
| 0.7507 | 5.0 | 400 | 0.7637 |
| 0.7327 | 6.25 | 500 | 0.7590 |
| 0.7331 | 7.5 | 600 | 0.7569 |
| 0.7396 | 8.75 | 700 | 0.7564 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1
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Model tree for langgptai/llama3-8b_sa_v0.1
Base model
meta-llama/Meta-Llama-3-8B-Instruct