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Malayalam_QA_model – AI Model by Anitha2020 | AlphaNeural AI
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Anitha2020
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Malayalam_QA_model
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
l3cube-pune/malayalam-bert
finetune
cc-by-4.0
endpoints_compatible
us
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Malayalam_QA_model
This model is a fine-tuned version of
l3cube-pune/malayalam-bert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.9506
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: 0.0002
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: 8
Training results
Training Loss
Epoch
Step
Validation Loss
5.9504
1.0
386
5.9506
5.9486
2.0
772
5.9506
5.9517
3.0
1158
5.9506
5.9508
4.0
1544
5.9506
5.9508
5.0
1930
5.9506
5.9505
6.0
2316
5.9506
5.9507
7.0
2702
5.9506
5.9504
8.0
3088
5.9506
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
