91a91948-c1e8-443f-bc8e-b429c417d58c
This model is a fine-tuned version of NousResearch/Nous-Hermes-2-Mistral-7B-DPO on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4332
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: 0.000211
- train_batch_size: 4
- eval_batch_size: 4
- seed: 110
- 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 | 0.0003 | 1 | 2.5339 |
| 1.8002 | 0.0154 | 50 | 1.0349 |
| 1.9816 | 0.0307 | 100 | 1.1290 |
| 1.7196 | 0.0461 | 150 | 0.9201 |
| 1.4833 | 0.0615 | 200 | 0.8637 |
| 1.3439 | 0.0768 | 250 | 0.7683 |
| 1.2199 | 0.0922 | 300 | 0.6815 |
| 1.0372 | 0.1076 | 350 | 0.5547 |
| 0.9001 | 0.1229 | 400 | 0.4782 |
| 0.9273 | 0.1383 | 450 | 0.4389 |
| 0.8915 | 0.1537 | 500 | 0.4332 |
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 lesso11/91a91948-c1e8-443f-bc8e-b429c417d58c
Base model
mistralai/Mistral-7B-v0.1