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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2258
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 |
|---|---|---|---|
| 2.1729 | 0.9947 | 47 | 1.1224 |
| 1.0988 | 1.9894 | 94 | 1.1023 |
| 1.0658 | 2.9841 | 141 | 1.1010 |
| 1.0106 | 4.0 | 189 | 1.1064 |
| 0.9989 | 4.9947 | 236 | 1.1127 |
| 0.9551 | 5.9894 | 283 | 1.1321 |
| 0.9069 | 6.9841 | 330 | 1.1557 |
| 0.8466 | 8.0 | 378 | 1.1898 |
| 0.8296 | 8.9947 | 425 | 1.2037 |
| 0.7978 | 9.9471 | 470 | 1.2258 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1