rujengelal commited on
Commit
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1 Parent(s): 1cb1e9d

End of training

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README.md CHANGED
@@ -3,6 +3,8 @@ 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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  model-index:
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  - name: my_awesome_english_to_nepali_tst
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  results: []
@@ -14,6 +16,10 @@ 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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  ## Model description
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@@ -38,14 +44,23 @@ The following hyperparameters were used during training:
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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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  - 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 | 0.6435 | 0.953 | 16.33 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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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  # 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: 0.3396
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+ - Bleu: 0.0
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+ - Gen Len: 17.98
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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: 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 | 0.5629 | 0.7867 | 16.43 |
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+ | No log | 2.0 | 64 | 0.4478 | 0.2585 | 17.975 |
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+ | No log | 3.0 | 96 | 0.3986 | 0.0013 | 18.075 |
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+ | No log | 4.0 | 128 | 0.3768 | 0.0 | 18.03 |
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+ | No log | 5.0 | 160 | 0.3621 | 0.0 | 18.155 |
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+ | No log | 6.0 | 192 | 0.3537 | 0.0 | 18.01 |
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+ | No log | 7.0 | 224 | 0.3469 | 0.0 | 18.06 |
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+ | No log | 8.0 | 256 | 0.3430 | 0.0 | 18.03 |
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+ | No log | 9.0 | 288 | 0.3407 | 0.0 | 17.96 |
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+ | No log | 10.0 | 320 | 0.3396 | 0.0 | 17.98 |
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  ### Framework versions
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