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library_name: peft
license: apache-2.0
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
tags:
- generated_from_trainer
model-index:
- name: lmi-ft
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# lmi-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1618
## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.964 | 0.9714 | 17 | 2.5423 |
| 2.5133 | 1.9714 | 34 | 2.2165 |
| 2.2166 | 2.9714 | 51 | 2.0860 |
| 2.103 | 3.9714 | 68 | 2.0531 |
| 1.9895 | 4.9714 | 85 | 2.0560 |
| 1.8706 | 5.9714 | 102 | 2.0744 |
| 1.7926 | 6.9714 | 119 | 2.1024 |
| 1.7225 | 7.9714 | 136 | 2.1234 |
| 1.6712 | 8.9714 | 153 | 2.1618 |
| 1.5428 | 9.9714 | 170 | 2.1618 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.3.2
- Tokenizers 0.21.0 |