Llama-3.1-8B_auto
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Llama-31-8B_task-2_120-samples_config-1_auto
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-2_auto and the GaetanMichelet/chat-120_ft_task-2_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.5755
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8648 | 1.0 | 11 | 0.8608 |
| 0.688 | 2.0 | 22 | 0.7373 |
| 0.6118 | 3.0 | 33 | 0.6359 |
| 0.5497 | 4.0 | 44 | 0.5871 |
| 0.4846 | 5.0 | 55 | 0.5755 |
| 0.3946 | 6.0 | 66 | 0.5995 |
| 0.2736 | 7.0 | 77 | 0.6777 |
| 0.1769 | 8.0 | 88 | 0.7587 |
| 0.1044 | 9.0 | 99 | 0.8817 |
| 0.0471 | 10.0 | 110 | 0.9812 |
| 0.0359 | 11.0 | 121 | 1.0013 |
| 0.0371 | 12.0 | 132 | 1.0867 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for GaetanMichelet/Llama-31-8B_task-2_120-samples_config-1_auto
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct