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distilbert-base-uncasedv1-finetuned-twitter-sentiment – AI Model by macildur | AlphaNeural AI
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macildur
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distilbert-base-uncasedv1-finetuned-twitter-sentiment
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
sentiment140
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncasedv1-finetuned-twitter-sentiment
This model is a fine-tuned version of
distilbert-base-uncased
on the sentiment140 dataset. It achieves the following results on the evaluation set:
Loss: 0.3985
Accuracy: 0.8247
F1: 0.8246
Precision: 0.8251
Recall: 0.8017
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: 64
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
F1
Precision
Recall
No log
1.0
500
0.4049
0.8181
0.8178
0.8236
0.7862
No log
2.0
1000
0.3985
0.8247
0.8246
0.8251
0.8017
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1
