metadata
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: vlsp-2023-vllm/hoa-1b4
model-index:
- name: fine_tune_demo_bloom1b4_21May_GPU3090_1
results: []
fine_tune_demo_bloom1b4_21May_GPU3090_1
This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0228
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9391 | 1.0 | 7301 | 1.9037 |
| 1.7839 | 2.0 | 14602 | 1.7477 |
| 1.6477 | 3.0 | 21903 | 1.5917 |
| 1.5106 | 4.0 | 29204 | 1.4484 |
| 1.3768 | 5.0 | 36505 | 1.3232 |
| 1.274 | 6.0 | 43806 | 1.2213 |
| 1.1853 | 7.0 | 51107 | 1.1397 |
| 1.1569 | 8.0 | 58408 | 1.0790 |
| 1.097 | 9.0 | 65709 | 1.0400 |
| 1.0547 | 10.0 | 73010 | 1.0228 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 1.13.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1