medium-mlm-imdb – AI Model by muhtasham | AlphaNeural AI

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muhtasham/
medium-mlm-imdb

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google/bert_uncased_L-8_H-512_A-8

autotrain_compatible

endpoints_compatible

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medium-mlm-imdb

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

Loss: 2.1889

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
2.5116	0.16	500	2.3298
2.4448	0.32	1000	2.3157
2.4362	0.48	1500	2.2987
2.4287	0.64	2000	2.2878
2.4125	0.8	2500	2.2693
2.4066	0.96	3000	2.2666
2.352	1.12	3500	2.2590
2.3406	1.28	4000	2.2501
2.3443	1.44	4500	2.2433
2.3331	1.6	5000	2.2373
2.3247	1.76	5500	2.2357
2.3343	1.92	6000	2.2332
2.3092	2.08	6500	2.2334
2.3034	2.24	7000	2.2319
2.2984	2.4	7500	2.2254
2.2794	2.56	8000	2.2186
2.3028	2.72	8500	2.2130
2.3047	2.88	9000	2.2156
2.2785	3.04	9500	2.2084
2.2562	3.2	10000	2.2105
2.2553	3.36	10500	2.2034
2.2626	3.52	11000	2.2024
2.2313	3.68	11500	2.2056
2.2514	3.84	12000	2.1980
2.2462	4.0	12500	2.2052
2.2143	4.16	13000	2.1928
2.2199	4.32	13500	2.1972
2.2045	4.48	14000	2.2014
2.2246	4.64	14500	2.1885
2.2272	4.8	15000	2.1895
2.2213	4.96	15500	2.1976
2.2074	5.12	16000	2.1889

Framework versions

Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2