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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- xtreme_s
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metrics:
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- bleu
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model-index:
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- name: ''
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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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#
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This model was trained from scratch on the xtreme_s dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6425
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- Bleu: 0.0000
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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: 0.00012335092351490598
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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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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_steps: 500
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- num_epochs: 3.0
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.8303 | 0.15 | 500 | 4.9238 | 0.0 |
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| 2.4062 | 0.31 | 1000 | 4.4017 | 0.0 |
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| 1.9171 | 0.46 | 1500 | 3.6431 | 0.0000 |
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| 1.4558 | 0.62 | 2000 | 2.8292 | 0.0000 |
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| 1.2393 | 0.77 | 2500 | 2.3704 | 0.0000 |
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| 1.3315 | 0.93 | 3000 | 2.3101 | 0.0000 |
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| 1.8476 | 1.08 | 3500 | 1.9936 | 0.0000 |
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| 1.683 | 1.23 | 4000 | 1.9308 | 0.0000 |
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| 1.8298 | 1.39 | 4500 | 1.8817 | 0.0000 |
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| 1.5955 | 1.54 | 5000 | 1.8171 | 0.0000 |
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| 1.6288 | 1.7 | 5500 | 1.7821 | 0.0000 |
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| 1.4107 | 1.85 | 6000 | 1.7170 | 0.0000 |
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| 1.0363 | 2.01 | 6500 | 1.7419 | 0.0000 |
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| 0.9667 | 2.16 | 7000 | 1.7309 | 0.0000 |
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| 0.9147 | 2.31 | 7500 | 1.7244 | 0.0000 |
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| 1.1975 | 2.47 | 8000 | 1.6716 | 0.0000 |
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| 0.9071 | 2.62 | 8500 | 1.6886 | 0.0000 |
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| 0.9735 | 2.78 | 9000 | 1.6609 | 0.0000 |
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| 0.908 | 2.93 | 9500 | 1.6425 | 0.0000 |
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### Framework versions
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- Transformers 4.19.0.dev0
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- Pytorch 1.10.2+cu113
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- Datasets 2.1.1.dev0
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- Tokenizers 0.11.0
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