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twitter-sentiment-analysis – Dataset by carblacac | AlphaNeural AI
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carblacac
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twitter-sentiment-analysis
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text-classification
expert-generated
other
monolingual
original
en
apache-2.0
100K<n<1M
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sentiment-analysis-twitter
This model is a fine-tuned version of
distilbert-base-uncased-finetuned-sst-2-english
on the new_dataset dataset. It achieves the following results on the evaluation set:
Loss: 0.4579
Accuracy: 0.7965
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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5315
1.0
157
0.4517
0.788
0.388
2.0
314
0.4416
0.8
0.3307
3.0
471
0.4579
0.7965
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu102
Datasets 2.1.0
Tokenizers 0.12.1
