This model is a fine-tuned version of microsoft/xtremedistil-l12-h384-uncased on the GLUE COLA dataset. It achieves the following results on the evaluation set:

Loss: 0.4974
Matthews Correlation: 0.5396

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: 0.0001
train_batch_size: 128
eval_batch_size: 16
seed: 5559
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 16.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.4822	1.0	67	0.5893	0.2621
0.4669	2.0	134	0.5811	0.3722
0.3077	3.0	201	0.6150	0.4383
0.2594	4.0	268	0.4974	0.5396
0.21	5.0	335	0.5594	0.5182
0.1526	6.0	402	0.5715	0.5150
0.1775	7.0	469	0.6637	0.5020
0.1681	8.0	536	0.6958	0.5131
0.124	9.0	603	0.7057	0.5154
0.1111	10.0	670	0.8173	0.5074
0.1332	11.0	737	0.8253	0.5260
0.0673	12.0	804	0.8086	0.5180
0.0512	13.0	871	0.8409	0.5128
0.0457	14.0	938	0.8760	0.4947
0.04	15.0	1005	0.8522	0.5103
0.0485	16.0	1072	0.8556	0.5076

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.1

pszemraj/xtremedistil-l12-h384-uncased-CoLA

xtremedistil-l12-h384-uncased-CoLA

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pszemraj/
xtremedistil-l12-h384-uncased-CoLA