Quantization made by Richard Erkhov.
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: []
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
| 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