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model-safety-W1 – AI Model by RS-course | AlphaNeural AI
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model-safety-W1
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
tweet_eval
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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model-safety-W1
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: 1.3816
Accuracy: 0.7772
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: 8
eval_batch_size: 8
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
0.2625
1.0
1490
1.0005
0.8006
0.1394
2.0
2980
1.2166
0.7863
0.0767
3.0
4470
1.3816
0.7772
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
