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update model card README.md
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README.md
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---
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license: apache-2.0
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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-thaisum-512-title
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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-thaisum-512-title
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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: 2.2605
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- Rouge1: 0.0766
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- Rouge2: 0.013
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- Rougel: 0.0758
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- Rougelsum: 0.075
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- Gen Len: 19.0
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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: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 2
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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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| 2.9327 | 1.0 | 3060 | 2.4386 | 0.0851 | 0.0163 | 0.0842 | 0.0834 | 18.9706 |
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| 2.6444 | 2.0 | 6120 | 2.3271 | 0.0763 | 0.0134 | 0.076 | 0.0751 | 18.9971 |
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| 2.4433 | 3.0 | 9180 | 2.2761 | 0.0744 | 0.0189 | 0.0731 | 0.0731 | 18.9971 |
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| 2.2643 | 4.0 | 12240 | 2.2605 | 0.0766 | 0.013 | 0.0758 | 0.075 | 19.0 |
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### Framework versions
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- Transformers 4.29.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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