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--- |
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library_name: transformers |
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license: other |
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base_model: Qwen/Qwen2.5-0.5B-Instruct |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: reranker_continuous_train |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# reranker_continuous_train |
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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_train dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3195 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 8 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.4242 | 0.1 | 2156 | 0.3844 | |
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| 0.236 | 0.2 | 4312 | 0.3643 | |
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| 0.6602 | 0.3 | 6468 | 0.3521 | |
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| 0.3464 | 0.4 | 8624 | 0.3472 | |
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| 0.3598 | 0.5 | 10780 | 0.3412 | |
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| 0.3377 | 0.6 | 12936 | 0.3341 | |
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| 0.4547 | 0.7 | 15092 | 0.3258 | |
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| 0.2282 | 0.8 | 17248 | 0.3228 | |
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| 0.2692 | 0.9 | 19404 | 0.3195 | |
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| 0.2059 | 1.0 | 21560 | 0.3195 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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