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--- |
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license: apache-2.0 |
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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: indo-t5-base |
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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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# indo-t5-base |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the lazarus-project/alkitab-sabda-mt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5657 |
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- Bleu: 18.7296 |
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- Gen Len: 49.6657 |
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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: 0.0008 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 4096 |
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- total_eval_batch_size: 128 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 5000 |
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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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| 1.5774 | 7.64 | 1000 | 1.5461 | 3.3312 | 18.8762 | |
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| 1.137 | 15.28 | 2000 | 1.4426 | 3.8148 | 18.8755 | |
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| 0.9109 | 22.92 | 3000 | 1.4754 | 3.9571 | 18.8752 | |
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| 0.7807 | 30.56 | 4000 | 1.5373 | 3.9767 | 18.8761 | |
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| 0.7288 | 38.2 | 5000 | 1.5657 | 3.9838 | 18.8778 | |
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### Framework versions |
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- Transformers 4.27.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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