XPFaculty-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: 1.2424
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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|---|---|---|---|
| 2.4997 | 1.0 | 25 | 2.1442 |
| 1.982 | 2.0 | 50 | 1.7214 |
| 1.5052 | 3.0 | 75 | 1.3375 |
| 1.2921 | 4.0 | 100 | 1.2731 |
| 1.2246 | 5.0 | 125 | 1.2574 |
| 1.18 | 6.0 | 150 | 1.2512 |
| 1.1403 | 7.0 | 175 | 1.2428 |
| 1.1051 | 8.0 | 200 | 1.2458 |
| 1.0811 | 9.0 | 225 | 1.2420 |
| 1.0686 | 10.0 | 250 | 1.2424 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Dev-SriramB/XPFaculty-ft
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ