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scibert_scivocab_cased-new-finetuned-leukaemia – AI Model by ENM | AlphaNeural AI
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scibert_scivocab_cased-new-finetuned-leukaemia
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transformers
pytorch
tensorboard
bert
text-generation
generated_from_trainer
autotrain_compatible
endpoints_compatible
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scibert_scivocab_cased-new-finetuned-leukaemia
This model is a fine-tuned version of
allenai/scibert_scivocab_cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
51
2.9065
No log
2.0
102
1.1973
No log
3.0
153
0.9055
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1
