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twitter-climate-sentiment-model – AI Model by XerOpred | AlphaNeural AI

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XerOpred/
twitter-climate-sentiment-model

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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twitter-climate-sentiment-model

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2779
eval_accuracy: 0.8941
eval_f1: 0.9372
eval_runtime: 135.2041
eval_samples_per_second: 39.873
eval_steps_per_second: 2.493
epoch: 1.0
step: 1348

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

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cpu
Datasets 2.5.2
Tokenizers 0.12.1