Training complete
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/mt5-large
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tags:
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- summarization
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: mt5-large-finetuned-norwegian
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mt5-large-finetuned-norwegian
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This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8439
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- Rouge1: 20.3786
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- Rouge2: 9.3936
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- Rougel: 17.7493
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- Rougelsum: 18.6037
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5.6e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 9.2094 | 1.0 | 18 | 3.7149 | 16.3818 | 4.3429 | 13.0076 | 13.4039 |
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| 4.1851 | 2.0 | 36 | 3.4349 | 18.7804 | 6.4406 | 15.4037 | 17.0282 |
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| 3.4627 | 3.0 | 54 | 3.1672 | 19.8826 | 9.1029 | 16.2944 | 17.7482 |
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| 3.0208 | 4.0 | 72 | 2.9852 | 20.9577 | 10.0017 | 16.8634 | 18.7444 |
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| 2.7108 | 5.0 | 90 | 2.8552 | 21.0429 | 10.7747 | 18.0074 | 19.1268 |
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| 2.6392 | 6.0 | 108 | 2.7793 | 23.4492 | 11.9814 | 20.2148 | 21.1514 |
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| 2.4402 | 7.0 | 126 | 2.7472 | 21.8771 | 11.9814 | 18.9203 | 19.9279 |
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| 2.4144 | 8.0 | 144 | 2.7253 | 21.0632 | 10.8657 | 19.1266 | 19.6957 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.0
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.51.3"
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}
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runs/Apr19_23-07-00_04e75d34c7fd/events.out.tfevents.1745104545.04e75d34c7fd.13238.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:e492e2f18cfcf2ed7f0ae7726e1a70e67970682334116f89bab171032e6950b1
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size 1036
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