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kaz-roberta-base_classification – AI Model by kmamaroziqov | AlphaNeural AI
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kmamaroziqov
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kaz-roberta-base_classification
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
kz-transformers/kaz-roberta-conversational
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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kaz-roberta-base_classification
This model is a fine-tuned version of
kz-transformers/kaz-roberta-conversational
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3306
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.2218
1.0
6750
0.3306
0.2248
2.0
13500
0.4068
0.0965
3.0
20250
0.4290
0.0021
4.0
27000
0.5674
0.0079
5.0
33750
0.6248
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
