tiny-mlm-glue-wnli-custom-tokenizer-expand-vocab – AI Model by muhtasham | AlphaNeural AI

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muhtasham/
tiny-mlm-glue-wnli-custom-tokenizer-expand-vocab

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tiny-mlm-glue-wnli-custom-tokenizer-expand-vocab

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6887

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
4.719	6.25	500	3.7847
4.0062	12.5	1000	3.4790
3.5607	18.75	1500	3.3417
3.3	25.0	2000	2.9815
3.0174	31.25	2500	2.7710
2.8668	37.5	3000	2.5395
2.6312	43.75	3500	2.4257
2.4138	50.0	4000	1.9615
2.2602	56.25	4500	2.1444
2.1614	62.5	5000	1.6887

Framework versions

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