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RoBERTa-large-GD1-v1 – AI Model by ericNguyen0132 | AlphaNeural AI
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ericNguyen0132
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RoBERTa-large-GD1-v1
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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RoBERTa-large-GD1-v1
This model is a fine-tuned version of
roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7605
Accuracy: 0.714
F1: 0.7875
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: 5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.631
1.0
1502
0.5333
0.766
0.8264
0.5734
2.0
3004
0.5500
0.752
0.8195
0.5938
3.0
4506
0.7605
0.714
0.7875
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
