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--- |
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base_model: Zelyanoth/my_fon_translation_model |
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tags: |
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- generated_from_trainer |
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datasets: |
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- generator |
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metrics: |
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- bleu |
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model-index: |
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- name: my_fon_translation_model |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: generator |
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type: generator |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 4.6969 |
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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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# my_fon_translation_model |
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This model is a fine-tuned version of [Zelyanoth/my_fon_translation_model](https://huggingface.co/Zelyanoth/my_fon_translation_model) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.3872 |
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- Bleu: 4.6969 |
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- Gen Len: 8.9556 |
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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: 9e-09 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 6 |
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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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| 0.7451 | 1.0 | 13165 | 5.3867 | 4.7469 | 8.918 | |
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| 0.7486 | 2.0 | 26330 | 5.3869 | 4.6995 | 8.9539 | |
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| 0.7707 | 3.0 | 39495 | 5.3872 | 4.6971 | 8.9559 | |
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| 0.7498 | 4.0 | 52660 | 5.3872 | 4.6971 | 8.9558 | |
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| 0.7367 | 5.0 | 65825 | 5.3872 | 4.6969 | 8.9556 | |
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| 0.7424 | 6.0 | 78990 | 5.3872 | 4.6969 | 8.9556 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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