yelp_review_classifier

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct 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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.56.2
  • Pytorch 2.8.0+cu128
  • Datasets 4.1.1
  • Tokenizers 0.22.1
Downloads last month
6
Safetensors
Model size
1.54B params
Tensor type
F32
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for un57gcder1/yelp_review_classifier

Base model

Qwen/Qwen2.5-1.5B
Finetuned
(1207)
this model