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GenzTranscribe-en-hi – AI Model by ParthNakum21 | AlphaNeural AI
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GenzTranscribe-en-hi
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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-hi
This model is a fine-tuned version of
t5-small
on the opus100 dataset. It achieves the following results on the evaluation set:
Loss: 0.2835
Bleu: 11.6016
Gen Len: 14.765
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.2859
1.0
33395
0.2898
10.7407
14.7245
0.2733
2.0
66790
0.2835
11.6016
14.765
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
