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sentiment_bert_twitter_airlines_10 – AI Model by pachequinho | AlphaNeural AI
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pachequinho
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sentiment_bert_twitter_airlines_10
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transformers
pytorch
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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sentiment_bert_twitter_airlines_10
This model is a fine-tuned version of
bert-base-cased
on the
pachequinho/twitter_airlines_pos_neg_small
dataset with only 10% of the training data. It achieves the following results on the evaluation set:
Loss: 0.0648
Accuracy: 0.9831
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
266
0.0926
0.9727
0.201
2.0
532
0.0648
0.9831
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
