Karun-ft
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: 1.8332
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 |
|---|---|---|---|
| 2.7969 | 0.8 | 1 | 2.2171 |
| 2.8361 | 1.6 | 2 | 2.1821 |
| 2.727 | 2.4 | 3 | 2.1073 |
| 1.3161 | 4.0 | 5 | 1.9785 |
| 2.5451 | 4.8 | 6 | 1.9301 |
| 2.4933 | 5.6 | 7 | 1.8925 |
| 2.4237 | 6.4 | 8 | 1.8635 |
| 1.1945 | 8.0 | 10 | 1.8332 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.1
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for Karun-7/Karun-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ