metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: mistral-ft
results: []
mistral-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: 1.2527
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 |
|---|---|---|---|
| 2.3229 | 0.97 | 27 | 1.8742 |
| 1.7299 | 1.98 | 55 | 1.6318 |
| 1.5704 | 2.99 | 83 | 1.4831 |
| 1.4553 | 4.0 | 111 | 1.4052 |
| 1.4421 | 4.97 | 138 | 1.3805 |
| 1.3759 | 5.98 | 166 | 1.3759 |
| 1.3658 | 6.99 | 194 | 1.3355 |
| 1.3271 | 8.0 | 222 | 1.2890 |
| 1.3299 | 8.97 | 249 | 1.2618 |
| 1.2296 | 9.73 | 270 | 1.2527 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2