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disaster-model-1 – AI Model by aellxx | AlphaNeural AI
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disaster-model-1
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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disaster-model-1
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6822
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: 5e-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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.786
1.04
100
0.6915
0.69
2.08
200
0.6822
Framework versions
Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
