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distilbert-base-uncased-finetuned-movies – AI Model by marcinkar | AlphaNeural AI
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marcinkar
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distilbert-base-uncased-finetuned-movies
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
autotrain_compatible
endpoints_compatible
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distilbert-base-uncased-finetuned-movies
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: 1.5807
Acurracy: 0.5261
F1: 0.4647
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Acurracy
F1
2.1386
1.0
285
1.7196
0.5055
0.4369
1.6151
2.0
570
1.5807
0.5261
0.4647
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
