metadata
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: entity_extraction_new
results: []
entity_extraction_new
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the dragin_entity_extraction dataset. It achieves the following results on the evaluation set:
- Loss: 0.0370
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-06
- train_batch_size: 28
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 56
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0486 | 0.4240 | 300 | 0.0476 |
| 0.04 | 0.8481 | 600 | 0.0403 |
| 0.0221 | 1.2714 | 900 | 0.0397 |
| 0.0216 | 1.6954 | 1200 | 0.0378 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.22.1