Mistral-7B-3
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6150
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: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 15
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.548 | 0.6 | 10 | 0.5296 |
| 0.0104 | 1.19 | 20 | 0.6040 |
| 0.012 | 1.79 | 30 | 0.6005 |
| 0.0006 | 2.39 | 40 | 0.6150 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.2
- Pytorch 2.5.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2
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Model tree for sejaljn/Mistral-7B-3
Base model
mistralai/Mistral-7B-v0.3
Finetuned
mistralai/Mistral-7B-Instruct-v0.3