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GenzTranscribe-en-gu – AI Model by ParthNakum21 | AlphaNeural AI
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GenzTranscribe-en-gu
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
opus100
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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GenzTranscribe-en-gu
This model is a fine-tuned version of
t5-small
on the opus100 dataset. It achieves the following results on the evaluation set:
Loss: 0.3075
Bleu: 59.9227
Gen Len: 9.6443
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: 2e-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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.3593
1.0
31831
0.3253
58.1921
9.7108
0.3421
2.0
63662
0.3075
59.9227
9.6443
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3
