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_continuous_train
results: []
reranker_continuous_train
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the reranker_continuous_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.3195
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 |
|---|---|---|---|
| 0.4242 | 0.1 | 2156 | 0.3844 |
| 0.236 | 0.2 | 4312 | 0.3643 |
| 0.6602 | 0.3 | 6468 | 0.3521 |
| 0.3464 | 0.4 | 8624 | 0.3472 |
| 0.3598 | 0.5 | 10780 | 0.3412 |
| 0.3377 | 0.6 | 12936 | 0.3341 |
| 0.4547 | 0.7 | 15092 | 0.3258 |
| 0.2282 | 0.8 | 17248 | 0.3228 |
| 0.2692 | 0.9 | 19404 | 0.3195 |
| 0.2059 | 1.0 | 21560 | 0.3195 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3