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: 1.9648
Accuracy: 0.8245

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: 0.0002628217875157273
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: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.5717	1.0	527	2.0086	0.8073
1.2017	2.0	1054	1.8121	0.8222
0.9081	3.0	1581	1.8837	0.8177
0.7559	4.0	2108	1.9089	0.8234
0.6694	5.0	2635	1.9749	0.8177
0.6147	6.0	3162	1.9445	0.8257
0.5729	7.0	3689	1.9648	0.8245

Framework versions

Transformers 4.37.1
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.1

Slava/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

Slava/
tiny-bert-sst2-distilled