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--- |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- flores |
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metrics: |
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- bleu |
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model-index: |
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- name: meta-translation-chinese-english-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: flores |
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type: flores |
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config: zho_Hans-eng_Latn |
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split: dev |
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args: zho_Hans-eng_Latn |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 0.4467 |
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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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# meta-translation-chinese-english-model |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the flores dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8438 |
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- Bleu: 0.4467 |
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- Gen Len: 18.815 |
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- Exact Match: 0.0 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | Exact Match | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-----------:| |
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| No log | 1.0 | 50 | 3.9743 | 0.1872 | 15.755 | 0.0 | |
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| No log | 2.0 | 100 | 3.9226 | 0.196 | 17.525 | 0.0 | |
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| No log | 3.0 | 150 | 3.8931 | 0.3008 | 18.075 | 0.0 | |
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| No log | 4.0 | 200 | 3.8743 | 0.4408 | 18.83 | 0.0 | |
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| No log | 5.0 | 250 | 3.8628 | 0.3987 | 18.83 | 0.0 | |
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| No log | 6.0 | 300 | 3.8546 | 0.4146 | 18.905 | 0.0 | |
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| No log | 7.0 | 350 | 3.8498 | 0.4069 | 18.87 | 0.0 | |
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| No log | 8.0 | 400 | 3.8464 | 0.4022 | 18.85 | 0.0 | |
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| No log | 9.0 | 450 | 3.8445 | 0.4432 | 18.815 | 0.0 | |
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| 4.0794 | 10.0 | 500 | 3.8438 | 0.4467 | 18.815 | 0.0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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