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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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- 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-small-finetuned-xlsum-ru-en-new-3 |
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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-small-finetuned-xlsum-ru-en-new-3 |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2908 |
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- Rouge1: 5.5296 |
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- Rouge2: 1.2847 |
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- Rougel: 5.4736 |
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- Rougelsum: 5.4929 |
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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: 4 |
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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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| 3.5647 | 1.0 | 7781 | 2.4279 | 3.7064 | 0.8436 | 3.6826 | 3.6992 | |
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| 3.0137 | 2.0 | 15562 | 2.3466 | 4.4983 | 0.9015 | 4.4599 | 4.4665 | |
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| 2.894 | 3.0 | 23343 | 2.3047 | 5.2553 | 1.1766 | 5.1885 | 5.2096 | |
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| 2.8408 | 4.0 | 31124 | 2.2908 | 5.5296 | 1.2847 | 5.4736 | 5.4929 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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