tiny-bert-sst2

jason-zhoou/tiny-bert-sst2

tiny-bert-sst2 is a machine learning model from jason-zhoou. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Aug 6, 2024
Updated: Aug 6, 2024
SHA: ee853f3a

Base models

google/bert_uncased_L-2_H-128_A-2

Model card

From the Hugging Face model README

tiny-bert-sst2

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: 1.2398
Accuracy: 0.8211

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: 0.0002
train_batch_size: 128
eval_batch_size: 128
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.4029	0.1898	100	1.6095	0.7856
1.4393	0.3795	200	1.4015	0.7947
1.1136	0.5693	300	1.2956	0.8039
0.9362	0.7590	400	1.2324	0.8177
0.8388	0.9488	500	1.2880	0.8131
0.7043	1.1385	600	1.3109	0.8211
0.6489	1.3283	700	1.2199	0.8303
0.6396	1.5180	800	1.2270	0.8245
0.6284	1.7078	900	1.2459	0.8177
0.6016	1.8975	1000	1.2398	0.8211

Framework versions

Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Aug 6, 2024
Updated: Aug 6, 2024