metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: labmate-mistral-7b-ft
results: []
labmate-mistral-7b-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: 1.4153
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 |
|---|---|---|---|
| 0.7983 | 1.0 | 1 | 1.4848 |
| 0.7983 | 2.0 | 2 | 1.4791 |
| 0.7863 | 3.0 | 3 | 1.4653 |
| 0.7603 | 4.0 | 4 | 1.4518 |
| 0.7353 | 5.0 | 5 | 1.4395 |
| 0.7135 | 6.0 | 6 | 1.4299 |
| 0.6955 | 7.0 | 7 | 1.4232 |
| 0.6815 | 8.0 | 8 | 1.4188 |
| 0.6712 | 9.0 | 9 | 1.4165 |
| 0.6642 | 10.0 | 10 | 1.4153 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1