6f53711e-3057-401c-a117-d9fe08ba977c
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: 0.2996
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 | 1.2314 |
| 0.3127 | 0.0054 | 50 | 0.1981 |
| 1.1515 | 0.0107 | 100 | 0.2584 |
| 0.4048 | 0.0161 | 150 | 0.2759 |
| 0.3643 | 0.0215 | 200 | 0.2996 |
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 lesso18/6f53711e-3057-401c-a117-d9fe08ba977c
Base model
mistralai/Mistral-7B-v0.1
Finetuned
NousResearch/Hermes-2-Pro-Mistral-7B