adria
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3546
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7622 | 1.0 | 48 | 1.7979 |
| 1.56 | 2.0 | 96 | 1.4051 |
| 1.2313 | 3.0 | 144 | 1.2441 |
| 1.0588 | 4.0 | 192 | 1.1994 |
| 0.957 | 5.0 | 240 | 1.1856 |
| 0.8864 | 6.0 | 288 | 1.2168 |
| 0.8323 | 7.0 | 336 | 1.2345 |
| 0.7879 | 8.0 | 384 | 1.2773 |
| 0.7565 | 9.0 | 432 | 1.3242 |
| 0.7307 | 10.0 | 480 | 1.3546 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for ayoubto/adria
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ