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finetuning-sentiment-model-3000-samples – AI Model by VISHWAJITT21 | AlphaNeural AI
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finetuning-sentiment-model-3000-samples
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
twitter-sentiment-analysis
autotrain_compatible
endpoints_compatible
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finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment
on the twitter-sentiment-analysis dataset.
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
