Mistral-7B-0.3
Collection
36 items • Updated
Mistral-7B_task-2_180-samples_config-1_full
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets. It achieves the following results on the evaluation set:
- Loss: 0.7876
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 |
|---|---|---|---|
| 1.0543 | 1.0 | 17 | 1.0411 |
| 0.9001 | 2.0 | 34 | 0.8847 |
| 0.791 | 3.0 | 51 | 0.8166 |
| 0.7142 | 4.0 | 68 | 0.7966 |
| 0.692 | 5.0 | 85 | 0.7876 |
| 0.6117 | 6.0 | 102 | 0.8012 |
| 0.5747 | 7.0 | 119 | 0.8235 |
| 0.4667 | 8.0 | 136 | 0.8642 |
| 0.3799 | 9.0 | 153 | 0.9078 |
| 0.3324 | 10.0 | 170 | 0.9620 |
| 0.2891 | 11.0 | 187 | 1.0194 |
| 0.19 | 12.0 | 204 | 1.0743 |
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/Mistral-7B_task-2_180-samples_config-1_full
Base model
mistralai/Mistral-7B-v0.3
Finetuned
mistralai/Mistral-7B-Instruct-v0.3