metadata
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: testing_checkpoint_new
results: []
testing_checkpoint_new
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2519
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: 0.0003
- train_batch_size: 5
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0817 | 5.0 | 20 | 0.2306 |
| 0.0947 | 10.0 | 40 | 0.2302 |
| 0.0467 | 15.0 | 60 | 0.2435 |
| 0.0225 | 20.0 | 80 | 0.2462 |
| 0.0162 | 25.0 | 100 | 0.2500 |
| 0.0129 | 30.0 | 120 | 0.2519 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1