metadata
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: reranker_binary_filt_train
results: []
reranker_binary_filt_train
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the reranker_binary_filt_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.0526
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- 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: 0.01
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0517 | 0.1000 | 1937 | 0.0871 |
| 0.114 | 0.2001 | 3874 | 0.0835 |
| 0.1033 | 0.3001 | 5811 | 0.0735 |
| 0.0544 | 0.4001 | 7748 | 0.0663 |
| 0.1169 | 0.5001 | 9685 | 0.0623 |
| 0.05 | 0.6002 | 11622 | 0.0599 |
| 0.0951 | 0.7002 | 13559 | 0.0566 |
| 0.0497 | 0.8002 | 15496 | 0.0551 |
| 0.1002 | 0.9002 | 17433 | 0.0532 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3