dictabert-finetuned-DSS-maskedLM – AI Model by yonatanlou | AlphaNeural AI

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yonatanlou/
dictabert-finetuned-DSS-maskedLM

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dicta-il/dictabert

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dictabert-finetuned-DSS-maskedLM

This model is a fine-tuned version of dicta-il/dictabert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 5.3388

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	41	6.0433
No log	2.0	82	5.8170
6.3301	3.0	123	5.6181
6.3301	4.0	164	5.5065
5.5931	5.0	205	5.4590
5.5931	6.0	246	5.3916
5.5931	7.0	287	5.3183
5.3774	8.0	328	5.4265
5.3774	9.0	369	5.4255
5.2877	10.0	410	5.2991

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1