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results – AI Model by RaucusReno | AlphaNeural AI
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transformers
pytorch
distilbert
token-classification
generated_from_trainer
inspec
ml6team/keyphrase-extraction-distilbert-inspec
finetune
mit
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
ml6team/keyphrase-extraction-distilbert-inspec
on the inspec dataset. It achieves the following results on the evaluation set:
Loss: 0.2616
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
0.0004
3.12
100
0.2452
0.0002
6.25
200
0.2559
0.0001
9.38
300
0.2616
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
