metadata
base_model: vlsp-2023-vllm/hoa-1b4
library_name: peft
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: oLora_500_last_question_wikiqa_seed_42_without_label
results: []
oLora_500_last_question_wikiqa_seed_42_without_label
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: 0.3529
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4201 | 1.0 | 50 | 0.3624 |
| 0.2808 | 2.0 | 100 | 0.3529 |
| 0.1775 | 3.0 | 150 | 0.3538 |
Framework versions
- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1