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--- |
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language: |
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- en |
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- bgc |
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license: apache-2.0 |
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base_model: google/mt5-base |
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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: tst-translation |
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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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# tst-translation |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1206 |
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- Bleu: 7.9168 |
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- Gen Len: 51.4945 |
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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: 0.0005 |
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- train_batch_size: 8 |
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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: 20.0 |
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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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| 4.5126 | 1.5748 | 200 | 2.7474 | 1.0891 | 120.8315 | |
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| 2.4414 | 3.1496 | 400 | 2.5120 | 5.0172 | 54.7623 | |
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| 1.724 | 4.7244 | 600 | 2.4090 | 5.2115 | 61.985 | |
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| 1.2755 | 6.2992 | 800 | 2.5519 | 7.0203 | 46.1414 | |
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| 0.97 | 7.8740 | 1000 | 2.5975 | 7.005 | 56.5266 | |
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| 0.7251 | 9.4488 | 1200 | 2.7918 | 7.6235 | 52.6841 | |
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| 0.584 | 11.0236 | 1400 | 2.8952 | 7.3273 | 49.9659 | |
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| 0.4358 | 12.5984 | 1600 | 3.1206 | 7.9168 | 51.4945 | |
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| 0.3619 | 14.1732 | 1800 | 3.2645 | 7.9096 | 50.5517 | |
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| 0.2933 | 15.7480 | 2000 | 3.3971 | 7.9015 | 49.6169 | |
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| 0.2447 | 17.3228 | 2200 | 3.5039 | 7.8441 | 49.6911 | |
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| 0.2151 | 18.8976 | 2400 | 3.5556 | 7.8198 | 50.1153 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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