distilbert-base-uncased-finetuned-char – AI Model by bhagasra-saurav | AlphaNeural AI

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distilbert-base-uncased-finetuned-char

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distilbert/distilbert-base-uncased

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distilbert-base-uncased-finetuned-char

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5972

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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.1436	0.85	500	1.8943
1.8911	1.71	1000	1.8065
1.8073	2.56	1500	1.7359
1.7668	3.41	2000	1.6907
1.733	4.27	2500	1.6564
1.7104	5.12	3000	1.6499
1.6915	5.97	3500	1.6258
1.6772	6.83	4000	1.6089
1.6617	7.68	4500	1.5982
1.6563	8.53	5000	1.6035
1.649	9.39	5500	1.5764

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3