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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_2 |
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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_2 |
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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: 3.2890 |
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- Bleu: 10.7134 |
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- Gen Len: 45.3067 |
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- Meteor: 0.3064 |
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- Chrf: 33.9112 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 24 |
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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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| 3.3178 | 7.94 | 2406 | 2.7937 | 9.2429 | 47.6707 | 0.2869 | 31.5031 | |
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| 1.6761 | 15.88 | 4812 | 2.8455 | 10.5222 | 46.2192 | 0.3047 | 33.4306 | |
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| 1.0433 | 23.82 | 7218 | 3.0691 | 10.4711 | 46.6063 | 0.3042 | 33.6469 | |
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| 0.6522 | 31.76 | 9624 | 3.2890 | 10.7134 | 45.3067 | 0.3064 | 33.9112 | |
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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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