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alberta-te-pos – AI Model by Osquery | AlphaNeural AI
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Osquery
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alberta-te-pos
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
universal_dependencies
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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alberta-te-pos
This model is a fine-tuned version of
t5-small
on the universal_dependencies dataset. It achieves the following results on the evaluation set:
Loss: 0.7232
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
No log
1.0
252
1.1029
2.4271
2.0
504
0.7232
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
