mistral-7b-instruct-v0.2-advisegpt-v0.1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.5297
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: 2e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 15
- total_train_batch_size: 90
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2215 | 0.9819 | 47 | 0.6548 |
| 0.1586 | 1.9847 | 95 | 0.5741 |
| 0.1421 | 2.9875 | 143 | 0.5422 |
| 0.1334 | 3.9903 | 191 | 0.5308 |
| 0.1298 | 4.9095 | 235 | 0.5297 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for ninyx/mistral-7b-instruct-v0.2-advisegpt-v0.1
Base model
mistralai/Mistral-7B-Instruct-v0.2