metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: epitgpt-yt
results: []
epitgpt-yt
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: 1.1341
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 |
---|---|---|---|
1.9196 | 0.9231 | 3 | 1.6814 |
1.7608 | 1.8462 | 6 | 1.5264 |
1.5578 | 2.7692 | 9 | 1.4042 |
1.0654 | 4.0 | 13 | 1.2955 |
1.313 | 4.9231 | 16 | 1.2413 |
1.2158 | 5.8462 | 19 | 1.2015 |
1.1487 | 6.7692 | 22 | 1.1709 |
0.8309 | 8.0 | 26 | 1.1443 |
1.0726 | 8.9231 | 29 | 1.1351 |
0.7822 | 9.2308 | 30 | 1.1341 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1