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annotator – AI Model by fia24 | AlphaNeural AI
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fia24
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annotator
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
csebuetnlp/banglat5
finetune
text-generation-inference
endpoints_compatible
us
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annotator
This model is a fine-tuned version of
csebuetnlp/banglat5
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1284
eval_Val Accuracy: 0.9452
eval_gen_len: 2.9605
eval_runtime: 34.6661
eval_samples_per_second: 95.771
eval_steps_per_second: 3.0
epoch: 6.0
step: 618
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: 0.0005
train_batch_size: 260
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Framework versions
Transformers 4.34.1
Pytorch 1.13.1+cu117
Datasets 2.14.6
Tokenizers 0.14.1