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byt5-small-ft-americas23 – AI Model by mrm8488 | AlphaNeural AI
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mrm8488
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byt5-small-ft-americas23
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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Model card
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byt5-small-ft-americas23-3
This model is a fine-tuned version of
google/byt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2834
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.4496
0.13
1000
0.2987
0.3864
0.26
2000
0.2873
0.3677
0.39
3000
0.2861
0.3515
0.53
4000
0.2838
0.3521
0.66
5000
0.2831
0.3408
0.79
6000
0.2827
0.346
0.92
7000
0.2834
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
