coinplusfire_llm_full
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2466
Model description
More information needed
Intended uses & limitations
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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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4186 | 0.99 | 51 | 2.4168 |
| 3.0802 | 1.99 | 103 | 3.3055 |
| 3.1087 | 3.0 | 155 | 3.0982 |
| 2.7192 | 4.0 | 207 | 2.9555 |
| 2.9335 | 4.99 | 258 | 3.0334 |
| 2.9269 | 5.99 | 310 | 3.0637 |
| 2.9669 | 7.0 | 362 | 3.1044 |
| 3.0386 | 8.0 | 414 | 3.1546 |
| 3.1866 | 8.99 | 465 | 3.2254 |
| 3.1436 | 9.86 | 510 | 3.2466 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
mistralai/Mistral-7B-Instruct-v0.2