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distilbert-base-uncased-finetuned-emotion – AI Model by Al3ksandra | AlphaNeural AI

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Al3ksandra/
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: 0.3158
eval_accuracy: 0.902
eval_f1: 0.8997
eval_runtime: 102.1735
eval_samples_per_second: 19.575
eval_steps_per_second: 0.313
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 4.24.0
Pytorch 1.13.0+cpu
Datasets 2.9.0
Tokenizers 0.13.2