metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openthaigpt/openthaigpt-1.0.0-7b-chat
model-index:
- name: tian-ft4bit
results: []
tian-ft4bit
This model is a fine-tuned version of openthaigpt/openthaigpt-1.0.0-7b-chat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2898
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 |
|---|---|---|---|
| 2.8288 | 0.9524 | 10 | 1.1157 |
| 0.7351 | 2.0 | 21 | 0.3817 |
| 0.3298 | 2.9524 | 31 | 0.2716 |
| 0.1567 | 4.0 | 42 | 0.2654 |
| 0.091 | 4.9524 | 52 | 0.2830 |
| 0.0572 | 6.0 | 63 | 0.2835 |
| 0.0542 | 6.9524 | 73 | 0.2912 |
| 0.0448 | 8.0 | 84 | 0.2886 |
| 0.0464 | 8.9524 | 94 | 0.2890 |
| 0.0389 | 9.5238 | 100 | 0.2898 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1