metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: Mistral-7B-Instruct-v0.2-GPTQ_retrained_IoV
results: []
Mistral-7B-Instruct-v0.2-GPTQ_retrained_IoV
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: 2.3976
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 4.1739 | 0.9412 | 4 | 3.4659 |
| 4.0195 | 1.8824 | 8 | 3.3893 |
| 3.2322 | 2.8235 | 12 | 3.2363 |
| 2.0625 | 4.0 | 17 | 3.0555 |
| 2.2884 | 4.9412 | 21 | 2.9109 |
| 2.1576 | 5.8824 | 25 | 2.7795 |
| 2.0546 | 6.8235 | 29 | 2.6220 |
| 1.5652 | 8.0 | 34 | 2.4955 |
| 1.8893 | 8.9412 | 38 | 2.4207 |
| 1.6427 | 9.4118 | 40 | 2.3976 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1