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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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metrics: |
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- bleu |
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model-index: |
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- name: my_awesome_english_to_nepali_tst |
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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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# my_awesome_english_to_nepali_tst |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7758 |
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- Bleu: 4.076 |
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- Gen Len: 17.595 |
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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: 32 |
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- eval_batch_size: 32 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 1.0 | 32 | 1.8790 | 3.86 | 17.665 | |
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| No log | 2.0 | 64 | 1.8311 | 4.0878 | 17.645 | |
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| No log | 3.0 | 96 | 1.8105 | 4.0976 | 17.615 | |
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| No log | 4.0 | 128 | 1.7988 | 4.1081 | 17.615 | |
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| No log | 5.0 | 160 | 1.7911 | 4.057 | 17.625 | |
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| No log | 6.0 | 192 | 1.7854 | 4.0552 | 17.61 | |
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| No log | 7.0 | 224 | 1.7812 | 4.0714 | 17.61 | |
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| No log | 8.0 | 256 | 1.7780 | 4.085 | 17.595 | |
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| No log | 9.0 | 288 | 1.7764 | 4.076 | 17.595 | |
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| No log | 10.0 | 320 | 1.7758 | 4.076 | 17.595 | |
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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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