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Training complete

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  1. README.md +71 -0
  2. generation_config.json +6 -0
  3. model.safetensors +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-multinews
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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-multinews
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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: 2.5337
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+ - Rouge1: 21.2625
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+ - Rouge2: 9.0676
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+ - Rougel: 18.6959
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+ - Rougelsum: 19.0326
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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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+ | 4.4067 | 1.0 | 1875 | 2.7776 | 20.7695 | 8.5464 | 18.4037 | 18.6862 |
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+ | 3.0128 | 2.0 | 3750 | 2.6822 | 21.0579 | 8.7229 | 18.5264 | 18.832 |
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+ | 2.7999 | 3.0 | 5625 | 2.5896 | 21.1361 | 8.7677 | 18.5391 | 18.8411 |
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+ | 2.6794 | 4.0 | 7500 | 2.5429 | 21.2314 | 8.9749 | 18.7468 | 19.036 |
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+ | 2.5963 | 5.0 | 9375 | 2.5555 | 21.2005 | 8.8569 | 18.7536 | 19.0381 |
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+ | 2.5401 | 6.0 | 11250 | 2.5464 | 21.1559 | 8.9794 | 18.572 | 18.9026 |
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+ | 2.5099 | 7.0 | 13125 | 2.5313 | 21.0841 | 9.0057 | 18.526 | 18.8667 |
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+ | 2.488 | 8.0 | 15000 | 2.5337 | 21.2625 | 9.0676 | 18.6959 | 19.0326 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
generation_config.json ADDED
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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": "4.36.2"
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+ }
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