distilbert-base-uncased__sst2__train-8-4 – AI Model by SetFit | AlphaNeural AI

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distilbert-base-uncasedsst2train-8-4

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncasedsst2train-8-4

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6921
Accuracy: 0.5107

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7163	1.0	3	0.7100	0.25
0.6785	2.0	6	0.7209	0.25
0.6455	3.0	9	0.7321	0.25
0.6076	4.0	12	0.7517	0.25
0.5593	5.0	15	0.7780	0.25
0.5202	6.0	18	0.7990	0.25
0.4967	7.0	21	0.8203	0.25
0.4158	8.0	24	0.8497	0.25
0.3997	9.0	27	0.8638	0.25
0.3064	10.0	30	0.8732	0.25
0.2618	11.0	33	0.8669	0.25

Framework versions

Transformers 4.15.0
Pytorch 1.10.2+cu102
Datasets 1.18.2
Tokenizers 0.10.3