README.md

metadata

license: other
base_model: Qwen/Qwen1.5-4B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: 4b_galore
    results: []

4b_galore

This model is a fine-tuned version of Qwen/Qwen1.5-4B on the universal_ner_all 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: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 200
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2