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Training complete

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  1. README.md +71 -0
  2. generation_config.json +6 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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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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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: mt5-small-finetuned-amazon-en-es
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+ results: []
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+ ---
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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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+
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+ # mt5-small-finetuned-amazon-en-es
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+
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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: 3.0348
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+ - Rouge1: 17.5116
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+ - Rouge2: 8.5034
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+ - Rougel: 17.2199
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+ - Rougelsum: 17.0937
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 6.6706 | 1.0 | 1209 | 3.3114 | 13.1025 | 4.546 | 12.6485 | 12.5756 |
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+ | 3.9103 | 2.0 | 2418 | 3.1923 | 16.1192 | 8.3043 | 15.7004 | 15.6132 |
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+ | 3.5937 | 3.0 | 3627 | 3.0927 | 17.9684 | 9.2115 | 17.5115 | 17.4098 |
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+ | 3.4088 | 4.0 | 4836 | 3.0605 | 17.8543 | 8.4785 | 17.2866 | 17.1586 |
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+ | 3.3178 | 5.0 | 6045 | 3.0501 | 16.029 | 7.6078 | 15.5929 | 15.4296 |
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+ | 3.2438 | 6.0 | 7254 | 3.0422 | 16.645 | 8.345 | 16.3489 | 16.1929 |
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+ | 3.2005 | 7.0 | 8463 | 3.0404 | 16.6148 | 7.5599 | 16.2553 | 16.1232 |
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+ | 3.1792 | 8.0 | 9672 | 3.0348 | 17.5116 | 8.5034 | 17.2199 | 17.0937 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0.dev0
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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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": "4.33.0.dev0"
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+ }
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