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imdb-sentiment-model3 – AI Model by eleax | AlphaNeural AI
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eleax
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imdb-sentiment-model3
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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imdb-sentiment-model3
This model is a fine-tuned version of
microsoft/deberta-v3-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2221
Accuracy: 0.9429
F1: 0.9439
Precision: 0.9288
Recall: 0.9595
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
0.2141
1.0
2657
0.2221
0.9429
0.9439
0.9288
0.9595
0.1542
2.0
5314
0.2764
0.9397
0.9411
0.9196
0.9637
0.0764
3.0
7971
0.2636
0.9491
0.9495
0.9422
0.9568
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
