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tweet – AI Model by NPCProgrammer | AlphaNeural AI | AlphaNeural AI
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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tweet
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7335
Accuracy: 0.6760
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: 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
0.56
100
0.6407
0.6251
No log
1.12
200
0.7067
0.6953
No log
1.68
300
0.6478
0.6796
No log
2.23
400
0.7657
0.6901
0.4528
2.79
500
0.8630
0.6733
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
