metadata
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MT5_large_NO_CNN-idun-final
results: []
MT5_large_NO_CNN-idun-final
This model is a fine-tuned version of google/mt5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8492
- Rouge1: 31.9047
- Rouge2: 12.0487
- Rougel: 21.7323
- Rougelsum: 29.4557
- Gen Len: 98.7777
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.246 | 1.0 | 6118 | 1.9772 | 30.9142 | 11.28 | 21.0914 | 28.4499 | 95.2396 |
| 2.0899 | 2.0 | 12236 | 1.9070 | 31.3973 | 11.6219 | 21.3122 | 28.9365 | 100.0907 |
| 1.9736 | 3.0 | 18354 | 1.8716 | 31.5752 | 11.7955 | 21.4748 | 29.1354 | 100.4973 |
| 1.9189 | 4.0 | 24472 | 1.8547 | 31.9802 | 12.183 | 21.8505 | 29.5171 | 98.4764 |
| 1.8697 | 5.0 | 30590 | 1.8492 | 31.9047 | 12.0487 | 21.7323 | 29.4557 | 98.7777 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.3.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2