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-ft8bit
results: []
tian-ft8bit
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: 0.3650
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 |
|---|---|---|---|
| 2.6818 | 0.9362 | 11 | 1.2394 |
| 0.7417 | 1.9574 | 23 | 0.4204 |
| 0.3016 | 2.9787 | 35 | 0.3303 |
| 0.1401 | 4.0 | 47 | 0.3590 |
| 0.0825 | 4.9362 | 58 | 0.3573 |
| 0.0601 | 5.9574 | 70 | 0.3517 |
| 0.0515 | 6.9787 | 82 | 0.3590 |
| 0.0483 | 8.0 | 94 | 0.3617 |
| 0.05 | 8.9362 | 105 | 0.3620 |
| 0.0393 | 9.3617 | 110 | 0.3650 |
Framework versions
- PEFT 0.10.0
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1