Arihant Tripathi
qwen_new_mage_all_domains_1.5
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metadata
library_name: transformers
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: fine_tuned_all_domains_1.5
    results: []

fine_tuned_all_domains_1.5

This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2369
  • Accuracy: 0.9083

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6318 0.0101 100 0.4632 0.8561
0.3263 0.0201 200 0.2369 0.9029
0.313 0.0302 300 0.3302 0.8813
0.2693 0.0403 400 0.2005 0.9083
0.2409 0.0503 500 0.2083 0.8993
0.229 0.0604 600 0.2315 0.9011
0.2413 0.0704 700 0.2369 0.9083

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu126
  • Datasets 3.3.2
  • Tokenizers 0.21.0