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distilbert-finetuned-tweet-eval – AI Model by iaminhridoy | AlphaNeural AI
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distilbert-finetuned-tweet-eval
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-finetuned-tweet-eval
This model is a fine-tuned version of
distilbert-base-uncased
on an tweet_eval/irony dataset. It achieves the following results on the evaluation set:
Loss: 0.7944
Accuracy: 0.6480
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: 9.345135299518317e-05
train_batch_size: 64
eval_batch_size: 64
seed: 13
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
45
0.6137
0.6649
No log
2.0
90
0.6282
0.6869
No log
3.0
135
0.7045
0.7079
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
