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t5-small-generation-code-documentation – AI Model by davidramos | AlphaNeural AI
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t5-small-generation-code-documentation
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generated_from_trainer
text2text-generation
apache-2.0
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t5-small-generation-code-documentation
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 6.0071
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: 1e-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
lr_scheduler_warmup_ratio: 0.03
training_steps: 15000
Training results
Training Loss
Epoch
Step
Validation Loss
6.4402
0.16
5000
6.2464
6.237
0.32
10000
6.0546
6.1603
0.48
15000
6.0071
Framework versions
Transformers 4.30.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
