You can deploy this model and start earning money today!

jason-zhoou/
tiny-bert-sst2

Name: tiny-bert-sst2
Availability: InStock

tensorboard

safetensors

bert

generated_from_trainer

google/bert_uncased_L-2_H-128_A-2

finetune

apache-2.0

Views

No views yet

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

jason-zhoou/tiny-bert-sst2

tiny-bert-sst2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jason-zhoou/
tiny-bert-sst2