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imdb-sentiment-model1 – AI Model by eleax | AlphaNeural AI
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eleax
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imdb-sentiment-model1
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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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imdb-sentiment-model1
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: 0.2720
Accuracy: 0.9008
F1: 0.9072
Precision: 0.8523
Recall: 0.9696
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.3129
1.0
2657
0.2720
0.9008
0.9072
0.8523
0.9696
0.1353
2.0
5314
0.3483
0.9171
0.9203
0.8860
0.9573
0.0836
3.0
7971
0.3370
0.9323
0.9320
0.9351
0.9291
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
