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garliceric/
tiny-bert-sst2-distilled

Name: tiny-bert-sst2-distilled
Rating: 2.5 (10 reviews)

pytorch

tensorboard

bert

generated_from_trainer

apache-2.0

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tiny-bert-sst2-distilled

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4425
Accuracy: 0.8280

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: 0.0009145413682990444
train_batch_size: 8192
eval_batch_size: 8192
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.8528	1.0	9	2.1211	0.7523
1.6717	2.0	18	1.6573	0.7947
1.0433	3.0	27	1.3459	0.8108
0.7426	4.0	36	1.3367	0.8222
0.6055	5.0	45	1.3740	0.8245
0.5311	6.0	54	1.4192	0.8303
0.4907	7.0	63	1.4403	0.8257
0.4664	8.0	72	1.4425	0.8280

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.16.1
Tokenizers 0.13.3

garliceric/tiny-bert-sst2-distilled

tiny-bert-sst2-distilled

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

garliceric/
tiny-bert-sst2-distilled