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roberta_large-filtered_simple-chunk-conll2003_0907_v1 – AI Model by mariolinml | AlphaNeural AI
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roberta_large-filtered_simple-chunk-conll2003_0907_v1
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transformers
pytorch
tensorboard
roberta
token-classification
generated_from_trainer
conll2003
mit
model-index
autotrain_compatible
endpoints_compatible
us
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roberta_large-filtered_simple-chunk-conll2003_0907_v1
This model is a fine-tuned version of
roberta-large
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.1299
Precision: 0.9048
Recall: 0.8909
F1: 0.8978
Accuracy: 0.9657
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
0.2061
1.0
878
0.1237
0.9077
0.9008
0.9042
0.9661
0.0999
2.0
1756
0.1131
0.9148
0.9079
0.9113
0.9687
Framework versions
Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
