tabeehive-ft-2
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: 0.6212
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|---|---|---|---|
| 2.7337 | 1.0 | 3 | 2.4865 |
| 2.3332 | 2.0 | 6 | 2.0148 |
| 1.9239 | 3.0 | 9 | 1.7024 |
| 1.6376 | 4.0 | 12 | 1.4442 |
| 1.3897 | 5.0 | 15 | 1.2083 |
| 1.1686 | 6.0 | 18 | 1.0030 |
| 0.9796 | 7.0 | 21 | 0.8399 |
| 0.8304 | 8.0 | 24 | 0.7174 |
| 0.7297 | 9.0 | 27 | 0.6498 |
| 0.6753 | 10.0 | 30 | 0.6212 |
Framework versions
- PEFT 0.16.0
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
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Model tree for tabeehive/tabeehive-ft-2
Base model
mistralai/Mistral-7B-Instruct-v0.2
Quantized
TheBloke/Mistral-7B-Instruct-v0.2-GPTQ