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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: outputs |
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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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# outputs |
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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: 0.7371 |
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- Rouge1: 8.8243 |
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- Rouge2: 1.3093 |
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- Rougel: 8.7971 |
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- Rougelsum: 8.838 |
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- Gen Len: 18.6465 |
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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: 0.0005 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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 | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 0.8929 | 1.0 | 10995 | 0.8547 | 8.6675 | 1.2002 | 8.6197 | 8.6811 | 18.5008 | |
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| 0.8248 | 2.0 | 21990 | 0.7847 | 8.8312 | 1.3639 | 8.8073 | 8.8448 | 18.4607 | |
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| 0.7483 | 3.0 | 32985 | 0.7488 | 8.913 | 1.3639 | 8.8925 | 8.9096 | 18.9223 | |
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| 0.6492 | 4.0 | 43980 | 0.7371 | 8.8243 | 1.3093 | 8.7971 | 8.838 | 18.6465 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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