metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-wikinewssum-spanish
results: []
mt5-base-wikinewssum-spanish
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: 2.2394
- Rouge1: 7.9732
- Rouge2: 3.5041
- Rougel: 6.6713
- Rougelsum: 7.5229
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 | 528 | 2.3707 | 6.687 | 2.9169 | 5.6793 | 6.2978 |
| No log | 2.0 | 1056 | 2.3140 | 7.9518 | 3.4529 | 6.7265 | 7.4984 |
| No log | 3.0 | 1584 | 2.2848 | 7.9708 | 3.5344 | 6.7272 | 7.534 |
| No log | 4.0 | 2112 | 2.2668 | 8.0252 | 3.5323 | 6.7319 | 7.5819 |
| 3.2944 | 5.0 | 2640 | 2.2532 | 8.0143 | 3.534 | 6.7155 | 7.582 |
| 3.2944 | 6.0 | 3168 | 2.2399 | 7.9525 | 3.4849 | 6.6716 | 7.5155 |
| 3.2944 | 7.0 | 3696 | 2.2376 | 7.9405 | 3.4661 | 6.6559 | 7.5043 |
| 3.2944 | 8.0 | 4224 | 2.2394 | 7.9732 | 3.5041 | 6.6713 | 7.5229 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.1
- Datasets 1.16.1
- Tokenizers 0.10.3