distilbert-base-uncased-finetuned-DIS-mlm5 – AI Model by himanimaheshwari3 | AlphaNeural AI

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distilbert-base-uncased-finetuned-DIS-mlm5

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distilbert-base-uncased-finetuned-DIS-mlm5

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.4911

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: 2e-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: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.036	1.0	2	4.3499
0.1722	2.0	4	4.3545
0.6087	3.0	6	5.8627
0.2151	4.0	8	3.6960
0.2115	5.0	10	3.2086
0.3443	6.0	12	5.1042
0.1082	7.0	14	4.0195
0.5068	8.0	16	3.6664
0.7362	9.0	18	4.3850
0.4281	10.0	20	4.6974
1.3107	11.0	22	4.3258
1.4157	12.0	24	4.8907
2.5918	13.0	26	4.6595
2.577	14.0	28	4.3417
1.6291	15.0	30	5.0013

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3