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distilbert-base-uncased-finetuned-disaster-tweets – AI Model by adityashukzy | AlphaNeural AI
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distilbert-base-uncased-finetuned-disaster-tweets
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transformers
tensorboard
safetensors
distilbert
text-classification
sentiment-analysis
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-disaster-tweets
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4965
Accuracy: 0.8253
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
381
0.3954
0.8424
0.4122
2.0
762
0.4284
0.8359
0.2949
3.0
1143
0.4965
0.8253
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1
