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End of training

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  1. README.md +75 -0
  2. generation_config.json +6 -0
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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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: md_mt5_1511_v8
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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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+ # md_mt5_1511_v8
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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: 0.3865
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+ - Bleu: 0.6474
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+ - Gen Len: 18.7566
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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+ | 5.2266 | 1.0 | 1250 | 2.0508 | 0.8851 | 16.8074 |
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+ | 1.9533 | 2.0 | 2500 | 1.1931 | 1.1725 | 18.8668 |
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+ | 1.5627 | 3.0 | 3750 | 0.8881 | 0.6185 | 18.672 |
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+ | 1.237 | 4.0 | 5000 | 0.7267 | 0.6301 | 18.7212 |
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+ | 1.1021 | 5.0 | 6250 | 0.6370 | 0.6165 | 18.679 |
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+ | 0.962 | 6.0 | 7500 | 0.5726 | 0.5885 | 18.7398 |
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+ | 0.8972 | 7.0 | 8750 | 0.5235 | 0.6011 | 18.7622 |
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+ | 0.8385 | 8.0 | 10000 | 0.4881 | 0.6087 | 18.761 |
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+ | 0.7949 | 9.0 | 11250 | 0.4579 | 0.6185 | 18.7696 |
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+ | 0.7482 | 10.0 | 12500 | 0.4342 | 0.6175 | 18.755 |
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+ | 0.7304 | 11.0 | 13750 | 0.4159 | 0.631 | 18.7478 |
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+ | 0.7009 | 12.0 | 15000 | 0.4029 | 0.6373 | 18.7532 |
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+ | 0.6863 | 13.0 | 16250 | 0.3938 | 0.6434 | 18.7546 |
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+ | 0.6841 | 14.0 | 17500 | 0.3882 | 0.6464 | 18.7512 |
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+ | 0.6749 | 15.0 | 18750 | 0.3865 | 0.6474 | 18.7566 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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": "4.35.1"
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+ }