t5-base-log-templates
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2838
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 253 | 0.4062 |
| 1.0073 | 2.0 | 506 | 0.3280 |
| 1.0073 | 3.0 | 759 | 0.3058 |
| 0.3737 | 4.0 | 1012 | 0.2903 |
| 0.3737 | 5.0 | 1265 | 0.2838 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0+cpu
- Datasets 2.13.1
- Tokenizers 0.14.1
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Model tree for axelAI9922/t5-base-log-templates
Base model
google-t5/t5-base
Finetuned
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