metadata
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: shawgpt-ft
results: []
shawgpt-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: 0.4523
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 |
|---|---|---|---|
| 2.0963 | 0.9677 | 15 | 1.3918 |
| 1.126 | 2.0 | 31 | 0.8829 |
| 0.8856 | 2.9677 | 46 | 0.6796 |
| 0.6852 | 4.0 | 62 | 0.5936 |
| 0.6348 | 4.9677 | 77 | 0.5174 |
| 0.5272 | 6.0 | 93 | 0.4824 |
| 0.5065 | 6.9677 | 108 | 0.4689 |
| 0.4308 | 8.0 | 124 | 0.4598 |
| 0.4287 | 8.9677 | 139 | 0.4512 |
| 0.3658 | 9.6774 | 150 | 0.4523 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1