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Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_3B

Text Generation
Transformers
Safetensors
qwen2
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
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Qwen2.5-1.5B-Instruct_MATH_training_response_Qwen2.5_3B / README.md
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metadata
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: MATH_training_response_Qwen2.5_3B
    results: []

MATH_training_response_Qwen2.5_3B

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the MATH_training_response_Qwen2.5_3B dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1318

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: 2
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 8
  • total_eval_batch_size: 4
  • 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
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
0.1506 0.3559 200 0.1348
0.1648 0.7117 400 0.1296
0.0422 1.0676 600 0.1409
0.0392 1.4235 800 0.1355
0.0414 1.7794 1000 0.1321

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3