| --- |
| library_name: transformers |
| license: other |
| base_model: Qwen/Qwen2.5-0.5B-Instruct |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| pipeline_tag: text-ranking |
| model-index: |
| - name: reranker_continuous_filt_max7_train |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # reranker_continuous_filt_max7_train |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the reranker_continuous_filt_max7_train dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3869 |
|
|
| ## 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 | |
| |:-------------:|:------:|:-----:|:---------------:| |
| | 0.403 | 0.1000 | 1977 | 0.4783 | |
| | 0.5192 | 0.2000 | 3954 | 0.4524 | |
| | 0.3639 | 0.3000 | 5931 | 0.4370 | |
| | 0.4343 | 0.4000 | 7908 | 0.4286 | |
| | 0.3929 | 0.5000 | 9885 | 0.4163 | |
| | 0.4455 | 0.6000 | 11862 | 0.4040 | |
| | 0.3775 | 0.7000 | 13839 | 0.3947 | |
| | 0.3629 | 0.8000 | 15816 | 0.3898 | |
| | 0.5186 | 0.9000 | 17793 | 0.3872 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.1 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
| |
