metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: kalamgpt-ft
results: []
kalamgpt-ft
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: 0.3653
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 |
|---|---|---|---|
| 4.1217 | 0.95 | 5 | 3.1170 |
| 2.7831 | 1.9 | 10 | 2.1817 |
| 1.8921 | 2.86 | 15 | 1.4378 |
| 0.9623 | 4.0 | 21 | 0.7646 |
| 0.6652 | 4.95 | 26 | 0.4978 |
| 0.4516 | 5.9 | 31 | 0.3957 |
| 0.3858 | 6.86 | 36 | 0.3819 |
| 0.3074 | 8.0 | 42 | 0.3679 |
| 0.3588 | 8.95 | 47 | 0.3662 |
| 0.3055 | 9.52 | 50 | 0.3653 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2