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muhtasham/
olm-bert-tiny-december-2022-target-glue-qnli

Name: olm-bert-tiny-december-2022-target-glue-qnli
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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olm-bert-tiny-december-2022-target-glue-qnli

This model is a fine-tuned version of muhtasham/olm-bert-tiny-december-2022 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6358
Accuracy: 0.6306

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.692	0.15	500	0.6882	0.5574
0.6777	0.31	1000	0.6637	0.6059
0.667	0.46	1500	0.6568	0.6064
0.6609	0.61	2000	0.6517	0.6193
0.6596	0.76	2500	0.6514	0.6127
0.6584	0.92	3000	0.6496	0.6202
0.6514	1.07	3500	0.6487	0.6191
0.652	1.22	4000	0.6420	0.6253
0.6449	1.37	4500	0.6415	0.6268
0.6477	1.53	5000	0.6358	0.6306

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.9.1.dev0
Tokenizers 0.13.2

muhtasham/olm-bert-tiny-december-2022-target-glue-qnli

olm-bert-tiny-december-2022-target-glue-qnli

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

muhtasham/
olm-bert-tiny-december-2022-target-glue-qnli