distilbert-base-uncased-finetuned-char-v1 – AI Model by bhagasra-saurav | AlphaNeural AI

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distilbert-base-uncased-finetuned-char-v1

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distilbert-base-uncased-finetuned-char-v1

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

Loss: 1.4642

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
1.6627	0.78	500	1.5628
1.6431	1.57	1000	1.5844
1.628	2.35	1500	1.5463
1.6066	3.13	2000	1.5415
1.5939	3.92	2500	1.5221
1.5788	4.7	3000	1.5116
1.572	5.49	3500	1.5208
1.5581	6.27	4000	1.4967
1.5486	7.05	4500	1.4868
1.541	7.84	5000	1.4949
1.5282	8.62	5500	1.4629
1.5276	9.4	6000	1.4810
1.5208	10.19	6500	1.4561
1.5155	10.97	7000	1.4783
1.5134	11.76	7500	1.4581
1.5094	12.54	8000	1.4449
1.5021	13.32	8500	1.4510
1.501	14.11	9000	1.4625
1.5004	14.89	9500	1.4255

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3