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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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- accuracy |
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model-index: |
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- name: mt5-small-task2-dataset3 |
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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-task2-dataset3 |
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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: 0.3113 |
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- Accuracy: 0.704 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.3153 | 1.0 | 250 | 0.7513 | 0.526 | |
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| 0.8878 | 2.0 | 500 | 0.5870 | 0.576 | |
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| 0.7191 | 3.0 | 750 | 0.5021 | 0.578 | |
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| 0.5842 | 4.0 | 1000 | 0.4596 | 0.612 | |
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| 0.5085 | 5.0 | 1250 | 0.4158 | 0.62 | |
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| 0.4515 | 6.0 | 1500 | 0.3865 | 0.618 | |
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| 0.4086 | 7.0 | 1750 | 0.3755 | 0.648 | |
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| 0.3811 | 8.0 | 2000 | 0.3505 | 0.662 | |
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| 0.3449 | 9.0 | 2250 | 0.3366 | 0.678 | |
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| 0.3294 | 10.0 | 2500 | 0.3280 | 0.674 | |
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| 0.3146 | 11.0 | 2750 | 0.3201 | 0.702 | |
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| 0.305 | 12.0 | 3000 | 0.3146 | 0.69 | |
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| 0.2972 | 13.0 | 3250 | 0.3130 | 0.702 | |
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| 0.2819 | 14.0 | 3500 | 0.3106 | 0.696 | |
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| 0.2828 | 15.0 | 3750 | 0.3113 | 0.704 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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