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End of training

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  1. README.md +13 -11
  2. pytorch_model.bin +1 -1
README.md CHANGED
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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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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 3.3638
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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
@@ -30,11 +28,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_opus_books_model
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9186
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- - Bleu: 3.3638
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- - Gen Len: 16.5639
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  ## Model description
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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: 1
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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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- | 3.2114 | 1.0 | 2574 | 2.9186 | 3.3638 | 16.5639 |
 
 
 
 
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  ### Framework versions
 
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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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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 4.9544
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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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  # my_awesome_opus_books_model
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+ This model was trained from scratch on the opus_books dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6349
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+ - Bleu: 4.9544
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+ - Gen Len: 16.4563
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  ## Model description
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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: 5
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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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+ | 3.0491 | 1.0 | 2574 | 2.7656 | 4.2008 | 16.5119 |
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+ | 2.9604 | 2.0 | 5148 | 2.6959 | 4.589 | 16.4523 |
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+ | 2.9114 | 3.0 | 7722 | 2.6601 | 4.8097 | 16.461 |
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+ | 2.8991 | 4.0 | 10296 | 2.6408 | 4.9246 | 16.4609 |
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+ | 2.8777 | 5.0 | 12870 | 2.6349 | 4.9544 | 16.4563 |
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  ### Framework versions
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