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roberta_large-chunking_0812_v0 – AI Model by mariolinml | AlphaNeural AI
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roberta_large-chunking_0812_v0
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transformers
pytorch
tensorboard
roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta_large-chunking_0812_v0
This model is a fine-tuned version of
roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3382
Precision: 0.8195
Recall: 0.8350
F1: 0.8272
Accuracy: 0.9106
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: 1e-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1816
1.0
1249
0.3544
0.7910
0.8154
0.8030
0.9055
0.0719
2.0
2498
0.4084
0.8207
0.8316
0.8261
0.9141
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
