finetuning-sentiment-model-3000-samples-6pm – AI Model by ttwj-sutd | AlphaNeural AI

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ttwj-sutd/
finetuning-sentiment-model-3000-samples-6pm

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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finetuning-sentiment-model-3000-samples-6pm

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: 0.2896
Precision: 0.875
Recall: 0.8867
F1: 0.8808
Accuracy: 0.88

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: 1e-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: 11

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	188	0.3436	0.8633	0.8	0.8304	0.8367
No log	2.0	376	0.2896	0.875	0.8867	0.8808	0.88
0.3	3.0	564	0.3330	0.8693	0.8867	0.8779	0.8767
0.3	4.0	752	0.4378	0.8766	0.9	0.8882	0.8867
0.3	5.0	940	0.5198	0.8284	0.9333	0.8777	0.87

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1