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test_t5_small_example_3 – AI Model by ethansimrm | AlphaNeural AI
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test_t5_small_example_3
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
opus_books
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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test_t5_small_example_3
This model is a fine-tuned version of
t5-small
on the opus_books dataset. It achieves the following results on the evaluation set:
Loss: 1.5333
Bleu: 6.2099
Gen Len: 17.5692
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.7061
1.0
6355
1.5458
6.1194
17.5769
1.7168
2.0
12710
1.5333
6.2099
17.5692
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
