metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-large_V8901_V89881_V17542
results: []
mt5-large_V8901_V89881_V17542
This model is a fine-tuned version of emilstabil/mt5-large_V8901_V89881 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7588
- Rouge1: 27.8059
- Rouge2: 10.1962
- Rougel: 15.3479
- Rougelsum: 26.1829
- Gen Len: 540.9451
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: 1e-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 |
|---|---|---|---|---|---|---|---|---|
| 1.871 | 2.11 | 500 | 1.7570 | 27.3094 | 9.9205 | 15.0662 | 25.6006 | 544.1983 |
| 1.7982 | 4.21 | 1000 | 1.7661 | 27.6824 | 9.8242 | 15.2022 | 25.9032 | 537.4388 |
| 1.7311 | 6.32 | 1500 | 1.7713 | 27.3113 | 9.6774 | 14.9355 | 25.6303 | 539.827 |
| 1.7432 | 8.42 | 2000 | 1.7636 | 27.8775 | 10.0766 | 15.1629 | 26.1014 | 537.5359 |
| 1.7775 | 10.53 | 2500 | 1.7588 | 27.8059 | 10.1962 | 15.3479 | 26.1829 | 540.9451 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3