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muhtasham/
tiny-mlm-snli-from-scratch-target-conll2003

Name: tiny-mlm-snli-from-scratch-target-conll2003
Availability: InStock

generated_from_trainer

autotrain_compatible

endpoints_compatible

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tiny-mlm-snli-from-scratch-target-conll2003

This model is a fine-tuned version of muhtasham/tiny-mlm-snli-from-scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3282
Precision: 0.4518
Recall: 0.5961
F1: 0.5140
Accuracy: 0.9043

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	Precision	Recall	F1	Accuracy
0.9955	1.14	500	0.7185	0.2123	0.1277	0.1595	0.8166
0.6054	2.28	1000	0.5641	0.2535	0.2804	0.2663	0.8481
0.5153	3.42	1500	0.5015	0.2936	0.3475	0.3183	0.8581
0.4561	4.56	2000	0.4556	0.3416	0.4127	0.3738	0.8694
0.4066	5.69	2500	0.4141	0.3547	0.4801	0.4080	0.8784
0.3671	6.83	3000	0.3833	0.3941	0.5157	0.4467	0.8888
0.3301	7.97	3500	0.3623	0.4062	0.5559	0.4694	0.8936
0.2999	9.11	4000	0.3464	0.4132	0.5762	0.4813	0.8976
0.2747	10.25	4500	0.3369	0.4332	0.5816	0.4966	0.9012
0.2582	11.39	5000	0.3282	0.4518	0.5961	0.5140	0.9043

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2

muhtasham/tiny-mlm-snli-from-scratch-target-conll2003

tiny-mlm-snli-from-scratch-target-conll2003

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

muhtasham/
tiny-mlm-snli-from-scratch-target-conll2003