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api_endpoint_extractor – AI Model by dzinampini | AlphaNeural AI | AlphaNeural AI
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api_endpoint_extractor
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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api_endpoint_extractor
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2141
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
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
1.1371
No log
2.0
2
1.1911
No log
3.0
3
1.2141
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cpu
Datasets 4.0.0
Tokenizers 0.21.2
