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SA-tweet-roberta-large-e12-w1-2.5 – AI Model by YanJiangJerry | AlphaNeural AI
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SA-tweet-roberta-large-e12-w1-2.5
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transformers
pytorch
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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SA-tweet-roberta-large-e12-w1-2.5
This model is a fine-tuned version of
Amalq/autotrain-smm4h_large_roberta_clean-874027878
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6409
eval_accuracy: 0.928
eval_f1: 0.9365
eval_precision: 0.9316
eval_recall: 0.9415
eval_runtime: 52.3038
eval_samples_per_second: 19.119
eval_steps_per_second: 4.78
epoch: 11.0
step: 13343
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
