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--- |
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license: apache-2.0 |
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base_model: google/mt5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: baseline_model |
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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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# baseline_model |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3342 |
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- Bleu: 0.7824 |
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- Meteor: 0.9157 |
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- Rouge-l: 0.9240 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 5 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Rouge-l | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:| |
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| 0.7338 | 1.0 | 1207 | 0.4367 | 0.7245 | 0.8932 | 0.9072 | |
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| 0.5866 | 2.0 | 2414 | 0.3841 | 0.7541 | 0.9031 | 0.9172 | |
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| 0.4345 | 3.0 | 3621 | 0.3569 | 0.7717 | 0.9111 | 0.9205 | |
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| 0.5316 | 4.0 | 4828 | 0.3367 | 0.7797 | 0.9148 | 0.9236 | |
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| 0.3912 | 5.0 | 6035 | 0.3342 | 0.7824 | 0.9157 | 0.9240 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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