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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: m2m100_418M-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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# m2m100_418M-finetuned-sah-to-feat
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0308
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- Bleu: 4.6161
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- Gen Len: 198.5197
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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 | 2.4936 | 1.8237 | 198.2756 |
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| No log | 2.0 | 48 | 2.0218 | 3.342 | 198.8268 |
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| No log | 3.0 | 72 | 1.7435 | 3.0434 | 198.874 |
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| No log | 4.0 | 96 | 1.5399 | 3.8934 | 198.7953 |
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| No log | 5.0 | 120 | 1.3805 | 3.5157 | 198.9685 |
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| No log | 6.0 | 144 | 1.2383 | 4.2008 | 198.7559 |
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| No log | 7.0 | 168 | 1.1430 | 4.1967 | 198.7244 |
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| No log | 8.0 | 192 | 1.0837 | 3.9657 | 198.7874 |
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| No log | 9.0 | 216 | 1.0501 | 4.0903 | 198.5354 |
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| No log | 10.0 | 240 | 1.0308 | 4.6161 | 198.5197 |
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### Framework versions
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- Transformers 4.30.2
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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
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