mt5-small-ft-CC-NEWS-ES-titles-summarization
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3696
- Model Preparation Time: 0.0085
- Rouge1: 19.7992
- Rouge2: 5.6898
- Rougel: 16.7802
- Rougelsum: 16.7497
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: 2e-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: 4
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for sauc-abadal-lloret/mt5-small-ft-CC-NEWS-ES-titles-summarization
Base model
google/mt5-small