asgm5-test-v0
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: 1.3325
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: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4565 | 0.9231 | 6 | 3.7292 |
| 3.1094 | 2.0 | 13 | 2.9011 |
| 2.8867 | 2.9231 | 19 | 2.4011 |
| 1.955 | 4.0 | 26 | 1.8841 |
| 1.8128 | 4.9231 | 32 | 1.6067 |
| 1.278 | 6.0 | 39 | 1.4245 |
| 1.3578 | 6.9231 | 45 | 1.3817 |
| 1.1568 | 8.0 | 52 | 1.3549 |
| 1.3163 | 8.9231 | 58 | 1.3424 |
| 1.0936 | 10.0 | 65 | 1.3346 |
| 1.2942 | 10.9231 | 71 | 1.3327 |
| 0.4425 | 11.0769 | 72 | 1.3325 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for thuyr/asgm5-test-v0
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ