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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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datasets:
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- iva_mt_wslot
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metrics:
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- bleu
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model-index:
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- name: iva_mt_wslot-m2m100_418M-en-pt
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: iva_mt_wslot
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type: iva_mt_wslot
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config: en-pt
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split: validation
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args: en-pt
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metrics:
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- name: Bleu
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type: bleu
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value: 67.0512
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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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# iva_mt_wslot-m2m100_418M-en-pt
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the iva_mt_wslot dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0119
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- Bleu: 67.0512
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- Gen Len: 20.3665
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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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- 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: 7
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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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| 0.016 | 1.0 | 1842 | 0.0132 | 62.2701 | 20.1343 |
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| 0.0103 | 2.0 | 3684 | 0.0117 | 65.7139 | 20.2191 |
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| 0.0076 | 3.0 | 5526 | 0.0116 | 65.578 | 20.0926 |
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| 0.0059 | 4.0 | 7368 | 0.0115 | 66.3728 | 20.4514 |
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| 0.0043 | 5.0 | 9210 | 0.0117 | 65.8861 | 20.3781 |
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| 0.0033 | 6.0 | 11052 | 0.0117 | 66.6496 | 20.4383 |
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| 0.0026 | 7.0 | 12894 | 0.0119 | 67.0512 | 20.3665 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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