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finetuning-sentiment-model-1500-samples – AI Model by tonyla25 | AlphaNeural AI
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finetuning-sentiment-model-1500-samples
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
imdb
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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finetuning-sentiment-model-1500-samples
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: 0.3496
Accuracy: 0.87
F1: 0.8721
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
94
0.3214
0.8667
0.8649
No log
2.0
188
0.3496
0.87
0.8721
Framework versions
Transformers 4.33.3
Pytorch 2.1.0
Datasets 2.12.0
Tokenizers 0.13.2
