lightblue_-_reranker_0.5_cont_filt_7max-gguf

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reranker_0.5_cont_filt_7max - GGUF

• Model creator: https://huggingface.co/lightblue/
• Original model: https://huggingface.co/lightblue/reranker_0.5_cont_filt_7max/

Original model description:

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_filt_max7_train results: []

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reranker_continuous_filt_max7_train

This model is a fine-tuned version of 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

Framework versions

• Transformers 4.46.1
• Pytorch 2.4.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3