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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_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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