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irony_trained – AI Model by aXhyra | AlphaNeural AI
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irony_trained
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
tweet_eval
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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irony_trained
This model is a fine-tuned version of
distilbert-base-uncased
on the tweet_eval dataset. It achieves the following results on the evaluation set:
Loss: 1.6471
F1: 0.6851
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: 2.6774391860025942e-05
train_batch_size: 4
eval_batch_size: 4
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6589
1.0
716
0.6187
0.6646
0.5494
2.0
1432
0.9314
0.6793
0.3369
3.0
2148
1.3468
0.6833
0.2129
4.0
2864
1.6471
0.6851
Framework versions
Transformers 4.12.5
Pytorch 1.9.1
Datasets 1.16.1
Tokenizers 0.10.3
