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minilm-imdb – AI Model by spolivin | AlphaNeural AI
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spolivin
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minilm-imdb
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
en
imdb
microsoft/MiniLM-L12-H384-uncased
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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minilm-imdb
This model is a fine-tuned version of
microsoft/MiniLM-L12-H384-uncased
on imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.2403
Accuracy: 0.9229
F1: 0.9228
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: 4
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1511
1.0
293
0.2212
0.9234
0.9229
0.1047
2.0
586
0.2211
0.9230
0.9217
0.1008
3.0
879
0.2403
0.9229
0.9228
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0
