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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: 8.059 |
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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: 6.1298 |
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- Bleu: 8.059 |
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- Gen Len: 8.4704 |
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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: 4.6e-08 |
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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: 8 |
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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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| 0.5745 | 1.0 | 13165 | 6.1275 | 7.8417 | 8.5553 | |
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| 0.564 | 2.0 | 26330 | 6.1295 | 7.8534 | 8.5544 | |
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| 0.5611 | 3.0 | 39495 | 6.1291 | 7.8887 | 8.5456 | |
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| 0.5538 | 4.0 | 52660 | 6.1288 | 7.7891 | 8.5627 | |
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| 0.566 | 5.0 | 65825 | 6.1296 | 8.0473 | 8.4714 | |
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| 0.5745 | 6.0 | 78990 | 6.1297 | 8.059 | 8.4695 | |
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| 0.5638 | 7.0 | 92155 | 6.1298 | 8.0595 | 8.47 | |
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| 0.5666 | 8.0 | 105320 | 6.1298 | 8.059 | 8.4704 | |
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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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