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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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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-destination-inference |
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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-destination-inference |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0350 |
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- Rouge1: 4.0 |
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- Rouge2: 0.0 |
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- Rougel: 4.0 |
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- Rougelsum: 4.0 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 20.4559 | 1.0 | 250 | 9.7574 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 9.5672 | 2.0 | 500 | 4.8087 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| 6.3205 | 3.0 | 750 | 3.9127 | 0.2 | 0.0 | 0.2 | 0.2 | |
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| 5.3432 | 4.0 | 1000 | 3.5081 | 1.4 | 0.0 | 1.4 | 1.4 | |
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| 4.9042 | 5.0 | 1250 | 3.3167 | 2.2 | 0.0 | 2.2 | 2.2 | |
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| 4.6882 | 6.0 | 1500 | 3.1341 | 3.2 | 0.0 | 3.2 | 3.2 | |
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| 4.538 | 7.0 | 1750 | 3.0736 | 4.0 | 0.0 | 4.0 | 4.0 | |
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| 4.4857 | 8.0 | 2000 | 3.0350 | 4.0 | 0.0 | 4.0 | 4.0 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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