README.md

metadata

library_name: transformers
license: other
base_model: Qwen/Qwen2.5-3B-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: dmWM-Qwen-Qwen2.5-3B-Instruct-LucieFr-Al4-OWT-TV
    results: []

dmWM-Qwen-Qwen2.5-3B-Instruct-LucieFr-Al4-OWT-TV

This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the None 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: 2e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 2500

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.5.1.post303
• Datasets 3.2.0
• Tokenizers 0.21.1