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distilbert-base-uncased-finetuned-emotion – AI Model by lauralex | AlphaNeural AI

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lauralex/
distilbert-base-uncased-finetuned-emotion

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-emotion

This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2992
eval_accuracy: 0.9085
eval_f1: 0.9069
eval_runtime: 2.8799
eval_samples_per_second: 694.475
eval_steps_per_second: 11.112
epoch: 1.0
step: 250

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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2