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twisent_twisent – AI Model by shatabdi | AlphaNeural AI

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shatabdi/
twisent_twisent

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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twisent_twisent

This model is a fine-tuned version of siebert/sentiment-roberta-large-english on an unknown 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: 64
eval_batch_size: 128
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: 3

Training results

Framework versions

Transformers 4.19.4
Pytorch 1.9.0+cu111
Datasets 2.3.2
Tokenizers 0.12.1