metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-wikinewssum-polish
results: []
mt5-base-wikinewssum-polish
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3179
- Rouge1: 7.911
- Rouge2: 3.2189
- Rougel: 6.7856
- Rougelsum: 7.4485
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 315 | 2.5391 | 5.9874 | 2.3594 | 5.1303 | 5.6116 |
| No log | 2.0 | 630 | 2.4446 | 7.7294 | 3.0152 | 6.6024 | 7.2757 |
| No log | 3.0 | 945 | 2.3912 | 7.6451 | 2.9785 | 6.5714 | 7.2011 |
| 3.5311 | 4.0 | 1260 | 2.3720 | 7.8007 | 3.0913 | 6.7067 | 7.3451 |
| 3.5311 | 5.0 | 1575 | 2.3411 | 7.8374 | 3.1208 | 6.7288 | 7.3459 |
| 3.5311 | 6.0 | 1890 | 2.3354 | 7.8664 | 3.1655 | 6.762 | 7.4364 |
| 3.5311 | 7.0 | 2205 | 2.3175 | 7.9529 | 3.2225 | 6.8438 | 7.4904 |
| 2.692 | 8.0 | 2520 | 2.3179 | 7.911 | 3.2189 | 6.7856 | 7.4485 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.1
- Datasets 1.16.1
- Tokenizers 0.10.3