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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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+ - bleu
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+ model-index:
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+ - name: mt5-small_test_45
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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_test_45
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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: 0.7291
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+ - Rouge1: 44.4366
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+ - Rouge2: 38.8202
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+ - Rougel: 43.113
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+ - Rougelsum: 43.1423
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+ - Bleu: 34.1596
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+ - Gen Len: 12.6724
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+ - Meteor: 0.4049
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+ - True negatives: 69.7281
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+ - False negatives: 10.4037
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+ - Cosine Sim: 0.763
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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: 0.001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 9
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 128
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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: 20
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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 | Bleu | Gen Len | Meteor | True negatives | False negatives | Cosine Sim |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:------:|:--------------:|:---------------:|:----------:|
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+ | 2.5724 | 1.0 | 175 | 0.9876 | 18.7781 | 15.6002 | 18.22 | 18.2686 | 7.6676 | 7.7661 | 0.1628 | 72.8701 | 56.677 | 0.4003 |
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+ | 1.1469 | 1.99 | 350 | 0.8580 | 36.8209 | 31.2514 | 35.5008 | 35.5462 | 25.7137 | 12.0014 | 0.3311 | 62.8399 | 20.3934 | 0.6645 |
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+ | 0.9468 | 2.99 | 525 | 0.7997 | 40.4128 | 34.716 | 39.0867 | 39.0972 | 29.3028 | 12.4287 | 0.3656 | 63.4441 | 15.295 | 0.7114 |
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+ | 0.8129 | 3.98 | 700 | 0.7733 | 42.6764 | 36.7266 | 41.2465 | 41.2833 | 32.0644 | 12.9002 | 0.3871 | 62.1752 | 11.413 | 0.7425 |
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+ | 0.7228 | 4.98 | 875 | 0.7483 | 42.9082 | 36.957 | 41.482 | 41.5233 | 32.4942 | 12.8866 | 0.3906 | 63.3233 | 11.5166 | 0.747 |
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+ | 0.6493 | 5.97 | 1050 | 0.7293 | 40.3205 | 34.9632 | 39.1111 | 39.1168 | 28.8249 | 11.6867 | 0.3674 | 73.8973 | 17.9865 | 0.7068 |
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+ | 0.5883 | 6.97 | 1225 | 0.7172 | 42.7342 | 37.0855 | 41.4069 | 41.424 | 32.1296 | 12.48 | 0.3887 | 70.0302 | 12.7847 | 0.7392 |
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+ | 0.5409 | 7.96 | 1400 | 0.7387 | 44.6657 | 38.8426 | 43.3276 | 43.3496 | 34.4773 | 12.9395 | 0.4084 | 66.3444 | 9.5238 | 0.7658 |
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+ | 0.5035 | 8.96 | 1575 | 0.7330 | 43.4925 | 38.0013 | 42.2697 | 42.2372 | 32.6131 | 12.2789 | 0.3979 | 72.6284 | 12.8364 | 0.7451 |
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+ | 0.4652 | 9.95 | 1750 | 0.7291 | 44.4366 | 38.8202 | 43.113 | 43.1423 | 34.1596 | 12.6724 | 0.4049 | 69.7281 | 10.4037 | 0.763 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3