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update model card README.md
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README.md
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---
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license: mit
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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: mbart-large-50-finetuned-sah-to-feat
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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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# mbart-large-50-finetuned-sah-to-feat
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3669
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- Bleu: 41.8685
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- Gen Len: 18.2677
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 24 | 2.6306 | 23.9912 | 34.3858 |
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| No log | 2.0 | 48 | 1.9570 | 39.8674 | 22.4882 |
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| No log | 3.0 | 72 | 1.5854 | 39.2001 | 21.1102 |
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| No log | 4.0 | 96 | 0.9981 | 26.199 | 31.5984 |
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| No log | 5.0 | 120 | 0.4687 | 42.9123 | 20.6614 |
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| No log | 6.0 | 144 | 0.4401 | 39.42 | 19.7244 |
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| No log | 7.0 | 168 | 0.3543 | 48.7148 | 21.1732 |
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| No log | 8.0 | 192 | 0.3650 | 46.2897 | 20.9843 |
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| No log | 9.0 | 216 | 0.3539 | 41.6928 | 18.4567 |
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| No log | 10.0 | 240 | 0.3669 | 41.8685 | 18.2677 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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