metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: mistral-genre-classificator
results: []
mistral-genre-classificator
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: 0.1913
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 |
|---|---|---|---|
| 1.5363 | 0.93 | 7 | 1.0741 |
| 0.7837 | 2.0 | 15 | 0.5276 |
| 0.4296 | 2.93 | 22 | 0.2807 |
| 0.2449 | 4.0 | 30 | 0.2262 |
| 0.2452 | 4.93 | 37 | 0.2121 |
| 0.1991 | 6.0 | 45 | 0.2004 |
| 0.2139 | 6.93 | 52 | 0.1960 |
| 0.179 | 8.0 | 60 | 0.1927 |
| 0.1995 | 8.93 | 67 | 0.1914 |
| 0.1553 | 9.33 | 70 | 0.1913 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2