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bert-base-cased-finetuned-panx-en – AI Model by samuelrince | AlphaNeural AI
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samuelrince
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bert-base-cased-finetuned-panx-en
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
xtreme
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-cased-finetuned-panx-en
This model is a fine-tuned version of
bert-base-cased
on the xtreme dataset. It achieves the following results on the evaluation set:
Loss: 0.2478
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
0.2941
1.0
1250
0.2432
0.186
2.0
2500
0.2214
0.1387
3.0
3750
0.2478
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
