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trained_dilibert_sentiment_analysis – AI Model by amolinab | AlphaNeural AI
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trained_dilibert_sentiment_analysis
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased-finetuned-sst-2-english
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
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trained_dilibert_sentiment_analysis
This model is a fine-tuned version of
distilbert/distilbert-base-uncased-finetuned-sst-2-english
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4094
Accuracy: 0.907
Confusion Matrix: [[173 47] [ 46 734]]
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
