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VGLee_-_qwen1.5-4b-universal_ner-galore-awq – AI Model by RichardErkhov | AlphaNeural AI
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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: []
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
