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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-task3-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-task3-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: 1.4565 |
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- Accuracy: 0.124 |
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- Mse: 2.0170 |
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- Log-distance: 0.7037 |
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- S Score: 0.4680 |
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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 | Mse | Log-distance | S Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------------:|:-------:| |
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| 3.3423 | 1.0 | 250 | 1.5914 | 0.074 | 2.3687 | 0.6693 | 0.4992 | |
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| 2.3267 | 2.0 | 500 | 1.6213 | 0.102 | 2.6627 | 0.7153 | 0.4836 | |
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| 1.8968 | 3.0 | 750 | 1.4707 | 0.118 | 2.0674 | 0.7576 | 0.4228 | |
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| 1.7414 | 4.0 | 1000 | 1.4367 | 0.124 | 2.0643 | 0.7534 | 0.4236 | |
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| 1.6639 | 5.0 | 1250 | 1.4493 | 0.12 | 2.0268 | 0.7079 | 0.4624 | |
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| 1.6088 | 6.0 | 1500 | 1.4538 | 0.116 | 1.9955 | 0.6762 | 0.4924 | |
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| 1.5823 | 7.0 | 1750 | 1.4565 | 0.124 | 2.0170 | 0.7037 | 0.4680 | |
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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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