metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0913
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7391 | 0.5 | 1000 | 0.1019 |
| 0.1177 | 1.0 | 2000 | 0.0966 |
| 0.1105 | 1.5 | 3000 | 0.0951 |
| 0.1079 | 2.0 | 4000 | 0.0939 |
| 0.1054 | 2.5 | 5000 | 0.0934 |
| 0.1054 | 3.0 | 6000 | 0.0928 |
| 0.1026 | 3.5 | 7000 | 0.0925 |
| 0.1039 | 4.0 | 8000 | 0.0922 |
| 0.102 | 4.5 | 9000 | 0.0920 |
| 0.1017 | 5.0 | 10000 | 0.0918 |
| 0.1003 | 5.5 | 11000 | 0.0918 |
| 0.1014 | 6.0 | 12000 | 0.0916 |
| 0.0993 | 6.5 | 13000 | 0.0916 |
| 0.101 | 7.0 | 14000 | 0.0914 |
| 0.0999 | 7.5 | 15000 | 0.0914 |
| 0.0994 | 8.0 | 16000 | 0.0913 |
| 0.1002 | 8.5 | 17000 | 0.0913 |
| 0.0986 | 9.0 | 18000 | 0.0913 |
| 0.0995 | 9.5 | 19000 | 0.0913 |
| 0.0987 | 10.0 | 20000 | 0.0913 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2