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VGLee_-_qwen1.5-4b-universal_ner-galore-awq
RichardErkhov/VGLee_-_qwen1.5-4b-universal_ner-galore-awq
VGLee_-_qwen1.5-4b-universal_ner-galore-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
qwen1.5-4b-universal_ner-galore - AWQ
- Model creator: https://huggingface.co/VGLee/
- Original model: https://huggingface.co/VGLee/qwen1.5-4b-universal_ner-galore/
Original model description:
license: other base_model: Qwen/Qwen1.5-4B tags:
- llama-factory
- full
- generated_from_trainer model-index:
- name: 4b_galore results: []
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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
- Type
- qwen2
- Created
- Dec 15, 2024
- Updated
- Dec 15, 2024