tiny-mlm-snli-custom-tokenizer – AI Model by muhtasham | AlphaNeural AI

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muhtasham/
tiny-mlm-snli-custom-tokenizer

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tiny-mlm-snli-custom-tokenizer

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: 4.8264

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
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss
6.5934	0.4	500	6.1299
5.5915	0.8	1000	6.0987
5.4106	1.2	1500	6.0209
5.3188	1.6	2000	5.9610
5.1738	2.0	2500	5.8186
5.0521	2.4	3000	5.7991
4.9494	2.8	3500	5.7584
4.9176	3.2	4000	5.6663
4.8419	3.6	4500	5.6272
4.6759	4.0	5000	5.5572
4.6021	4.4	5500	5.4644
4.6077	4.8	6000	5.4168
4.4571	5.2	6500	5.3577
4.4012	5.6	7000	5.3301
4.3231	6.0	7500	5.2220
4.2708	6.4	8000	5.2296
4.2149	6.8	8500	5.1176
4.1028	7.2	9000	5.1298
4.1042	7.6	9500	5.0949
4.0501	8.0	10000	5.0850
4.012	8.4	10500	5.0018
3.875	8.8	11000	5.0539
3.8863	9.2	11500	4.8985
3.8032	9.6	12000	4.9226
3.8501	10.0	12500	4.9202
3.6744	10.4	13000	4.8908
3.6515	10.8	13500	4.9305
3.6525	11.2	14000	4.8675
3.6416	11.6	14500	4.8610
3.5686	12.0	15000	4.6993
3.5437	12.4	15500	4.8085
3.4837	12.8	16000	4.7654
3.4553	13.2	16500	4.8264

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.8.1.dev0
Tokenizers 0.13.2