| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/mt5-large |
| tags: |
| - summarization |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: mt5-large-finetuned-norwegian |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # mt5-large-finetuned-norwegian |
|
|
| This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.8439 |
| - Rouge1: 20.3786 |
| - Rouge2: 9.3936 |
| - Rougel: 17.7493 |
| - Rougelsum: 18.6037 |
|
|
| ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 8 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
| | 9.2094 | 1.0 | 18 | 3.7149 | 16.3818 | 4.3429 | 13.0076 | 13.4039 | |
| | 4.1851 | 2.0 | 36 | 3.4349 | 18.7804 | 6.4406 | 15.4037 | 17.0282 | |
| | 3.4627 | 3.0 | 54 | 3.1672 | 19.8826 | 9.1029 | 16.2944 | 17.7482 | |
| | 3.0208 | 4.0 | 72 | 2.9852 | 20.9577 | 10.0017 | 16.8634 | 18.7444 | |
| | 2.7108 | 5.0 | 90 | 2.8552 | 21.0429 | 10.7747 | 18.0074 | 19.1268 | |
| | 2.6392 | 6.0 | 108 | 2.7793 | 23.4492 | 11.9814 | 20.2148 | 21.1514 | |
| | 2.4402 | 7.0 | 126 | 2.7472 | 21.8771 | 11.9814 | 18.9203 | 19.9279 | |
| | 2.4144 | 8.0 | 144 | 2.7253 | 21.0632 | 10.8657 | 19.1266 | 19.6957 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.0 |
|
|
