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fine-tuned-distilbert-base-uncased – AI Model by akash2212 | AlphaNeural AI
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akash2212
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fine-tuned-distilbert-base-uncased
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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fine-tuned-distilbert-base-uncased
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5086
eval_accuracy: {'accuracy': 0.815576323987539}
eval_f1score: {'f1': 0.8154580580519637}
eval_runtime: 23.9985
eval_samples_per_second: 66.879
eval_steps_per_second: 8.376
step: 0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 320
num_epochs: 2
Framework versions
Transformers 4.40.0
Pytorch 2.1.0
Datasets 2.19.0
Tokenizers 0.19.1
