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finetuning-sentiment-model-10000-samples – AI Model by JS21 | AlphaNeural AI

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JS21/
finetuning-sentiment-model-10000-samples

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0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

10.57967/hf/1023

autotrain_compatible

endpoints_compatible

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finetuning-sentiment-model-10000-samples

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

Loss: 0.5301
Accuracy: 0.908
F1: 0.9076

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2