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biomedlm-ner-adr – AI Model by wolvram | AlphaNeural AI
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wolvram
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biomedlm-ner-adr
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transformers
safetensors
gpt2
token-classification
generated_from_trainer
stanford-crfm/BioMedLM
finetune
bigscience-bloom-rail-1.0
text-generation-inference
endpoints_compatible
us
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biomedlm-ner-adr
This model is a fine-tuned version of
stanford-crfm/BioMedLM
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3486
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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
2
4.1147
No log
2.0
4
4.1147
No log
3.0
6
1.3486
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
