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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_lr_2e5_gradd_accum_1
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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_lr_2e5_gradd_accum_1
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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: 3.2511
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- Bleu: 10.7253
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- Gen Len: 45.9543
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- Meteor: 0.3079
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- Chrf: 33.934
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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: 12
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- eval_batch_size: 12
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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: 32.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | Meteor | Chrf |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:-------:|
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| 3.6632 | 3.97 | 2406 | 2.8977 | 7.6826 | 49.2935 | 0.2567 | 28.2679 |
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| 2.1329 | 7.94 | 4812 | 2.7600 | 10.0915 | 47.2241 | 0.2999 | 32.4294 |
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| 1.552 | 11.91 | 7218 | 2.8218 | 10.3506 | 45.6178 | 0.3041 | 33.2923 |
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| 1.1577 | 15.88 | 9624 | 2.9258 | 10.3313 | 46.668 | 0.3058 | 33.4639 |
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| 0.8781 | 19.85 | 12030 | 3.0435 | 10.5266 | 46.2384 | 0.3063 | 33.6649 |
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| 0.6935 | 23.82 | 14436 | 3.1381 | 10.4391 | 46.0441 | 0.3062 | 33.7686 |
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| 0.5683 | 27.79 | 16842 | 3.2178 | 10.6801 | 45.8612 | 0.309 | 33.8163 |
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| 0.5037 | 31.76 | 19248 | 3.2511 | 10.7253 | 45.9543 | 0.3079 | 33.934 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 1.11.0+cu113
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- Datasets 2.10.0
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- Tokenizers 0.12.1
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