fanf-generation-test-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2952
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3254 | 0.9998 | 3102 | 2.3062 |
| 2.2887 | 1.9998 | 6205 | 2.2987 |
| 2.272 | 2.9999 | 9308 | 2.2962 |
| 2.2593 | 4.0 | 12411 | 2.2950 |
| 2.2496 | 4.9998 | 15513 | 2.2949 |
| 2.2397 | 5.9985 | 18612 | 2.2952 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.4.0
- Tokenizers 0.19.1
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Model tree for DariaaaS/fanf-generation-test-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ