metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-large_V8901
results: []
mt5-large_V8901
This model is a fine-tuned version of google/mt5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7406
- Rouge1: 19.3197
- Rouge2: 4.1196
- Rougel: 10.4848
- Rougelsum: 18.1364
- Gen Len: 547.0
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: 11
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 12.1229 | 2.11 | 500 | 3.9460 | 15.5693 | 2.3792 | 9.3813 | 14.6801 | 547.0 |
| 5.6736 | 4.21 | 1000 | 3.1634 | 17.0598 | 3.1505 | 9.4845 | 15.8919 | 547.0 |
| 3.84 | 6.32 | 1500 | 2.0725 | 25.9095 | 8.9258 | 13.9444 | 24.3476 | 547.0 |
| 3.6041 | 8.42 | 2000 | 2.7824 | 19.0967 | 3.9799 | 10.5463 | 17.8219 | 547.0 |
| 3.3024 | 10.53 | 2500 | 2.7406 | 19.3197 | 4.1196 | 10.4848 | 18.1364 | 547.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3