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finetuning-cardiffnlp-twitter-roberta-base-sentiment – AI Model by bharadwajkg | AlphaNeural AI
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finetuning-cardiffnlp-twitter-roberta-base-sentiment
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
tweet_eval
model-index
autotrain_compatible
endpoints_compatible
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finetuning-cardiffnlp-twitter-roberta-base-sentiment
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment
on the tweet_eval dataset. It achieves the following results on the evaluation set:
Loss: 2.0244
Accuracy: 0.7433
F1: 0.7418
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: 2
Training results
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1