metadata
library_name: transformers
license: apache-2.0
base_model: ltg/nort5-base
tags:
- generated_from_trainer
model-index:
- name: ltg_nort5-base
results: []
ltg_nort5-base
This model is a fine-tuned version of ltg/nort5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1309
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.799 | 0.1953 | 100 | 0.7628 |
| 0.1798 | 0.3906 | 200 | 0.1886 |
| 0.3739 | 0.5859 | 300 | 0.3134 |
| 0.159 | 0.7812 | 400 | 0.1574 |
| 0.132 | 0.9766 | 500 | 0.1451 |
| 0.1338 | 1.1719 | 600 | 0.1335 |
| 0.1412 | 1.3672 | 700 | 0.1309 |
| 0.1335 | 1.5625 | 800 | 0.1336 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu118
- Datasets 3.5.1
- Tokenizers 0.21.1