metadata
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: Qwen2-0.5B-SFT
results: []
Qwen2-0.5B-SFT
This model is a fine-tuned version of Qwen/Qwen2-0.5B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.5691
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6625 | 0.1081 | 100 | 1.6427 |
| 1.5916 | 0.2162 | 200 | 1.6277 |
| 1.584 | 0.3242 | 300 | 1.6156 |
| 1.5852 | 0.4323 | 400 | 1.6043 |
| 1.6071 | 0.5404 | 500 | 1.5959 |
| 1.5758 | 0.6485 | 600 | 1.5859 |
| 1.5518 | 0.7566 | 700 | 1.5786 |
| 1.5974 | 0.8646 | 800 | 1.5724 |
| 1.5532 | 0.9727 | 900 | 1.5691 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3