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

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YagiASAFAS/
distilbert-base-uncased-finetuned-emotion

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

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: 0.1710
eval_accuracy: 0.9295
eval_f1: 0.9302
eval_runtime: 11.2289
eval_samples_per_second: 178.112
eval_steps_per_second: 2.85
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 4.33.3
Pytorch 2.2.0.dev20231211
Datasets 2.15.0
Tokenizers 0.11.0