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roberta-base_corona_nlp_classif – AI Model by dthejaka | AlphaNeural AI
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dthejaka
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roberta-base_corona_nlp_classif
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transformers
pytorch
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base_corona_nlp_classif
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5166
Model description
This model is used to classify tweets regarding the COVID-19 as Extremely Positive, Positive, Neutral,Negative, Extremely Negative
Intended uses & limitations
Training is done on a raw uncleaned dataset.
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-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
lr_scheduler_warmup_steps: 500
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.6501
1.0
4496
0.6886
0.4461
2.0
8992
0.5166
0.3347
3.0
13488
0.6570
0.152
4.0
17984
0.6583
Framework versions
Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
