small-mlm-glue-wnli-from-scratch-custom-tokenizer-expand-vocab – AI Model by muhtasham | AlphaNeural AI

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small-mlm-glue-wnli-from-scratch-custom-tokenizer-expand-vocab

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small-mlm-glue-wnli-from-scratch-custom-tokenizer-expand-vocab

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.4922

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
7.1384	6.25	500	5.9999
5.8428	12.5	1000	5.6581
5.4846	18.75	1500	5.4843
5.1716	25.0	2000	5.3955
4.8633	31.25	2500	4.9234
4.6185	37.5	3000	4.6246
4.2975	43.75	3500	4.3933
4.0116	50.0	4000	4.1432
3.7556	56.25	4500	3.8816
3.5262	62.5	5000	3.4922

Framework versions

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