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update model card README.md
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README.md
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---
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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_skr-en_longerrun
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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_skr-en_longerrun
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4577
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- Bleu: 30.8071
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- Gen Len: 34.548
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 4
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- mixed_precision_training: Native AMP
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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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| 0.5444 | 0.72 | 500 | 1.3416 | 28.7505 | 34.228 |
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| 0.8576 | 1.45 | 1000 | 1.3411 | 30.1776 | 34.328 |
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| 0.6422 | 2.18 | 1500 | 1.3882 | 30.2815 | 34.164 |
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| 0.532 | 2.9 | 2000 | 1.3716 | 30.8947 | 34.556 |
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| 0.4473 | 3.63 | 2500 | 1.4577 | 30.8071 | 34.548 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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