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wsdbanglat5 – AI Model by sajjad55 | AlphaNeural AI
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sajjad55
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wsdbanglat5
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
csebuetnlp/banglat5
finetune
text-generation-inference
endpoints_compatible
us
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Model card
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wsdbanglat5
This model is a fine-tuned version of
csebuetnlp/banglat5
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0117
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.0424
1.0
1481
0.0330
0.0282
2.0
2962
0.0213
0.0248
3.0
4443
0.0169
0.0167
4.0
5924
0.0130
0.017
5.0
7405
0.0117
Framework versions
Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1
