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imdb-distilbert-optimized-v2 – AI Model by rxnu | AlphaNeural AI
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rxnu
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imdb-distilbert-optimized-v2
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
rxnu/imdb-distilbert-finetuned
finetune
autotrain_compatible
endpoints_compatible
us
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imdb-distilbert-optimized-v2
This model is a fine-tuned version of
rxnu/imdb-distilbert-finetuned
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5827
Accuracy: 0.9099
F1: 0.9100
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: 16
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.0192
1.0
704
0.5347
0.904
0.9104
0.016
2.0
1408
0.5904
0.9096
0.9127
0.0037
3.0
2112
0.6376
0.9092
0.9126
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.5
Tokenizers 0.21.2
