Mistral-7B-Q-Lora-0916
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6168
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 90 | 0.6606 |
| No log | 2.0 | 180 | 0.6263 |
| No log | 3.0 | 270 | 0.6167 |
| No log | 4.0 | 360 | 0.6169 |
| No log | 5.0 | 450 | 0.6160 |
| 0.4712 | 6.0 | 540 | 0.6168 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for rishisuresh/Mistral-7B-Q-Lora-0916
Base model
mistralai/Mistral-7B-v0.1