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End of training
Browse files- README.md +69 -0
- generation_config.json +6 -0
README.md
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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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- rouge
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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: 0.0516
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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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: 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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 2.0315 | 1.0 | 500 | 0.0727 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.1434 | 2.0 | 1000 | 0.0660 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.0975 | 3.0 | 1500 | 0.0613 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.0822 | 4.0 | 2000 | 0.0554 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.0806 | 5.0 | 2500 | 0.0543 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.0745 | 6.0 | 3000 | 0.0535 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.0713 | 7.0 | 3500 | 0.0516 | 0.0 | 0.0 | 0.0 | 0.0 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.2"
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}
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