metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: api_endpoint_extractor2
results: []
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