7ec2af3a-3dbe-4609-af62-5c998569b3e5
This model is a fine-tuned version of NousResearch/Hermes-2-Pro-Mistral-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2782
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0001 | 1 | 1.8562 |
| 5.3687 | 0.0068 | 50 | 8.7575 |
| 5.5762 | 0.0137 | 100 | 2.5470 |
| 5.2399 | 0.0205 | 150 | 5.4407 |
| 5.2245 | 0.0273 | 200 | 2.1176 |
| 4.9681 | 0.0342 | 250 | 2.4473 |
| 5.4547 | 0.0410 | 300 | 1.5749 |
| 4.5725 | 0.0478 | 350 | 1.3494 |
| 5.6604 | 0.0546 | 400 | 1.2976 |
| 5.0179 | 0.0615 | 450 | 1.2826 |
| 4.9246 | 0.0683 | 500 | 1.2782 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso18/7ec2af3a-3dbe-4609-af62-5c998569b3e5
Base model
mistralai/Mistral-7B-v0.1
Finetuned
NousResearch/Hermes-2-Pro-Mistral-7B