metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-destination-inference
results: []
mt5-destination-inference
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.5749
- Rouge1: 0.1757
- Rouge2: 0.0
- Rougel: 0.1757
- Rougelsum: 0.1757
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: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 20.4559 | 1.0 | 250 | 8.6810 | 0.0 | 0.0 | 0.0 | 0.0 |
| 9.5672 | 2.0 | 500 | 5.4642 | 0.0 | 0.0 | 0.0 | 0.0 |
| 6.3205 | 3.0 | 750 | 5.6638 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5.3432 | 4.0 | 1000 | 5.6325 | 0.1757 | 0.0 | 0.1757 | 0.1757 |
| 4.9042 | 5.0 | 1250 | 5.6978 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4.6882 | 6.0 | 1500 | 5.6566 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4.538 | 7.0 | 1750 | 5.5962 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4.4857 | 8.0 | 2000 | 5.5749 | 0.1757 | 0.0 | 0.1757 | 0.1757 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3