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api_endpoint_extractor2 – AI Model by dzinampini | AlphaNeural AI
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dzinampini
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api_endpoint_extractor2
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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api_endpoint_extractor2
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2063
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: 4
eval_batch_size: 4
seed: 42
distributed_type: tpu
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
4.6998
1.0
21
3.1465
3.0677
2.0
42
2.5783
2.7289
3.0
63
2.3493
2.5835
4.0
84
2.2389
2.5329
5.0
105
2.2063
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cpu
Datasets 4.0.0
Tokenizers 0.21.2
