models
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the Tutor_finetune_train dataset. It achieves the following results on the evaluation set:
- Loss: 1.3175
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0658 | 0.6154 | 100 | 1.0250 |
| 0.5114 | 1.2277 | 200 | 1.1260 |
| 0.3983 | 1.8431 | 300 | 1.1009 |
| 0.0966 | 2.4554 | 400 | 1.3105 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for naimbenjedou/models-moved
Base model
mistralai/Mistral-7B-v0.3 Finetuned
mistralai/Mistral-7B-Instruct-v0.3