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DriveFeelings-Roberta-sentiment-analyzer-for-twitter – AI Model by bibbia | AlphaNeural AI
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bibbia
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DriveFeelings-Roberta-sentiment-analyzer-for-twitter
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transformers
pytorch
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment-latest
finetune
autotrain_compatible
endpoints_compatible
us
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DriveFeelings-Roberta-sentiment-analyzer-for-twitter
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment-latest
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3098
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-05
train_batch_size: 6
eval_batch_size: 2
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.5256
1.0
3350
0.4115
0.3777
2.0
6700
0.3490
0.4593
3.0
10050
0.2626
0.073
4.0
13400
0.3266
0.1437
5.0
16750
0.3098
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.6
Tokenizers 0.13.3
