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finetuning-sentiment-model-8-labels – AI Model by HarshV9 | AlphaNeural AI

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HarshV9/
finetuning-sentiment-model-8-labels

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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finetuning-sentiment-model-8-labels

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1854
eval_accuracy: 0.5598
eval_f1: 0.5598
eval_runtime: 190.081
eval_samples_per_second: 198.205
eval_steps_per_second: 6.197
epoch: 2.88
step: 13550

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Framework versions

Transformers 4.30.2
Pytorch 1.13.1+cu116
Datasets 2.13.1
Tokenizers 0.13.3