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imdb-distilbert – AI Model by mowghli | AlphaNeural AI
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mowghli
/
imdb-distilbert
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transformers
safetensors
roberta
text-classification
generated_from_trainer
mowghli/distilroberta-base-finetuned-wikitext2
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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imdb-distilbert
This model is a fine-tuned version of
mowghli/distilroberta-base-finetuned-wikitext2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7517
Accuracy: 0.9217
F1: 0.9207
Precision: 0.9330
Recall: 0.9087
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: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
0.0846
1.0
1407
0.5710
0.9064
0.9073
0.9037
0.9109
0.0487
2.0
2814
0.7084
0.9104
0.9097
0.9223
0.8974
0.0627
3.0
4221
0.6852
0.9156
0.9163
0.9138
0.9189
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
