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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: api_endpoint_extractor2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# api_endpoint_extractor2 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2063 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: tpu |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.6998 | 1.0 | 21 | 3.1465 | |
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| 3.0677 | 2.0 | 42 | 2.5783 | |
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| 2.7289 | 3.0 | 63 | 2.3493 | |
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| 2.5835 | 4.0 | 84 | 2.2389 | |
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| 2.5329 | 5.0 | 105 | 2.2063 | |
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### Framework versions |
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- Transformers 4.53.1 |
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- Pytorch 2.6.0+cpu |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
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