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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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model-index: |
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- name: mt5-small-finetuned-mr-sum |
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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-mr-sum |
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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: 1.9029 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 4.1339 | 1.0 | 1803 | 2.2075 | |
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| 3.1992 | 2.0 | 3606 | 2.0707 | |
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| 3.0189 | 3.0 | 5409 | 2.0077 | |
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| 2.9222 | 4.0 | 7212 | 1.9655 | |
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| 2.8524 | 5.0 | 9015 | 1.9323 | |
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| 2.81 | 6.0 | 10818 | 1.9261 | |
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| 2.7811 | 7.0 | 12621 | 1.9078 | |
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| 2.7658 | 8.0 | 14424 | 1.9029 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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