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bioBERT-finetuned-biopharma-dive – AI Model by daniel-gordon | AlphaNeural AI
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daniel-gordon
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bioBERT-finetuned-biopharma-dive
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
daniel-gordon/bioBERT-finetuned-financial-phrasebank
finetune
autotrain_compatible
endpoints_compatible
us
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bioBERT-finetuned-biopharma-dive
This model is a fine-tuned version of
daniel-gordon/bioBERT-finetuned-financial-phrasebank
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9018
F1: 0.6009
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
110
0.9018
0.6009
No log
2.0
220
0.9249
0.5851
No log
3.0
330
1.0173
0.5835
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
