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qwen1.5-4b-universal_ner-galore

Text Generation
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qwen2
llama-factory
full
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text-generation-inference
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qwen1.5-4b-universal_ner-galore / README.md
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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