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qwen2.5-1.5b-conll-json – AI Model by xvaldez0502 | AlphaNeural AI
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qwen2.5-1.5b-conll-json
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peft
safetensors
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Qwen/Qwen2.5-1.5B
apache-2.0
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qwen2.5-1.5b-conll-json
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 600
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.1
Transformers 4.54.1
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.21.4
