metadata
license: apache-2.0
base_model: google/byt5-large
tags:
- generated_from_trainer
model-index:
- name: models
results: []
models
This model is a fine-tuned version of google/byt5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0735
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.0178 | 0.0699 | 500 | 0.1299 |
0.199 | 0.1398 | 1000 | 0.1156 |
0.1327 | 0.2097 | 1500 | 0.1020 |
0.1241 | 0.2796 | 2000 | 0.0964 |
0.1115 | 0.3495 | 2500 | 0.0919 |
0.1109 | 0.4193 | 3000 | 0.0897 |
0.1016 | 0.4892 | 3500 | 0.0870 |
0.1081 | 0.5591 | 4000 | 0.0847 |
0.0946 | 0.6290 | 4500 | 0.0826 |
0.0996 | 0.6989 | 5000 | 0.0822 |
0.0962 | 0.7688 | 5500 | 0.0809 |
0.09 | 0.8387 | 6000 | 0.0799 |
0.0901 | 0.9086 | 6500 | 0.0785 |
0.098 | 0.9785 | 7000 | 0.0773 |
0.0866 | 1.0484 | 7500 | 0.0772 |
0.0877 | 1.1183 | 8000 | 0.0776 |
0.0865 | 1.1881 | 8500 | 0.0761 |
0.0912 | 1.2580 | 9000 | 0.0757 |
0.0786 | 1.3279 | 9500 | 0.0762 |
0.085 | 1.3978 | 10000 | 0.0744 |
0.0818 | 1.4677 | 10500 | 0.0750 |
0.078 | 1.5376 | 11000 | 0.0751 |
0.0791 | 1.6075 | 11500 | 0.0746 |
0.0848 | 1.6774 | 12000 | 0.0743 |
0.0755 | 1.7473 | 12500 | 0.0738 |
0.0785 | 1.8172 | 13000 | 0.0739 |
0.0773 | 1.8871 | 13500 | 0.0736 |
0.0792 | 1.9569 | 14000 | 0.0735 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1