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reinforce-dd – AI Model by tkuye | AlphaNeural AI
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tkuye
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reinforce-dd
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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reinforce-dd
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 0.0005
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
lr_scheduler_warmup_steps: 1000
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.5375
1.35
500
0.0017
0.0001
2.7
1000
0.0000
0.0
4.05
1500
0.0000
Framework versions
Transformers 4.22.1
Pytorch 1.12.0
Datasets 2.5.1
Tokenizers 0.12.1
