sinonimayzer
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UzRoBERTa-v3

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UzRoBERTa-v3

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

Loss: 1.9097

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 92
eval_batch_size: 92
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500000

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0

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Safetensors

Model size

0.1B params

Tensor type

F32

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Dataset used to train sinonimayzer/UzRoBERTa-v3

Collection including sinonimayzer/UzRoBERTa-v3

Fill-Mask

4 items • Updated Mar 2