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scibert_finetuned – AI Model by dariast | AlphaNeural AI
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dariast
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scibert_finetuned
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transformers
safetensors
bert
text-classification
generated_from_trainer
allenai/scibert_scivocab_uncased
finetune
autotrain_compatible
endpoints_compatible
us
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scibert_finetuned
This model is a fine-tuned version of
allenai/scibert_scivocab_uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4243
Accuracy: 0.9055
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4842
1.0
101
0.3403
0.8507
0.3146
2.0
202
0.4111
0.8756
0.2277
3.0
303
0.4243
0.9055
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.21.0
