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finetuning-sentiment-model-1000-samples-imdb-v1 – AI Model by ParhamAbdarzade | AlphaNeural AI
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ParhamAbdarzade
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finetuning-sentiment-model-1000-samples-imdb-v1
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
imdb
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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finetuning-sentiment-model-1000-samples-imdb-v1
This model is a fine-tuned version of
distilbert-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.7453
Accuracy: 0.8667
F1: 0.8701
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
125
0.4510
0.88
0.8816
No log
2.0
250
0.5184
0.8833
0.8736
No log
3.0
375
0.5525
0.8967
0.8920
0.1
4.0
500
0.5790
0.8967
0.8912
0.1
5.0
625
0.5501
0.8967
0.8927
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
