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mirrorqwen2.5-0.5b-prm – AI Model by rawsh | AlphaNeural AI

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rawsh/
mirrorqwen2.5-0.5b-prm

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text-classification

generated_from_trainer

rawsh/mirrorqwen2.5-0.5b-prm

autotrain_compatible

text-generation-inference

endpoints_compatible

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mirrorqwen2.5-0.5b-prm

This model is a fine-tuned version of 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