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HiNER_RO_LARGE – AI Model by TathagatAgrawal | AlphaNeural AI
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TathagatAgrawal
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HiNER_RO_LARGE
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transformers
tensorboard
safetensors
roberta
token-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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HiNER_RO_LARGE
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1022
Precision: 0.8758
Recall: 0.8889
F1: 0.8823
Accuracy: 0.9686
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1135
2.11
10000
0.1142
0.8605
0.8744
0.8674
0.9650
0.0838
4.22
20000
0.1022
0.8758
0.8889
0.8823
0.9686
Framework versions
Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
