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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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