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ernie-2.0-base-en – AI Model by TunahanGokcimen | AlphaNeural AI
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TunahanGokcimen
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ernie-2.0-base-en
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transformers
tensorboard
safetensors
ernie
token-classification
generated_from_trainer
nghuyong/ernie-2.0-base-en
finetune
autotrain_compatible
endpoints_compatible
us
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ernie-2.0-base-en
This model is a fine-tuned version of
nghuyong/ernie-2.0-base-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2022
Precision: 0.7745
Recall: 0.8255
F1: 0.7992
Accuracy: 0.9392
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
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2221
1.0
2078
0.2066
0.7130
0.8024
0.7551
0.9309
0.1813
2.0
4156
0.1972
0.7573
0.8224
0.7885
0.9362
0.1397
3.0
6234
0.2022
0.7745
0.8255
0.7992
0.9392
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
