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---
base_model: rawsh/mirrorqwen2.5-0.5b-prm
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mirrorqwen2.5-0.5b-prm
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. -->
# mirrorqwen2.5-0.5b-prm
This model is a fine-tuned version of [rawsh/mirrorqwen2.5-0.5b-prm](https://huggingface.co/rawsh/mirrorqwen2.5-0.5b-prm) on an unknown dataset.
## 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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
### Training results
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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