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opus_books_model_english

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README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: Goshective/opus_books_model_english
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # opus_books_model_english
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- This model is a fine-tuned version of [Goshective/opus_books_model_english](https://huggingface.co/Goshective/opus_books_model_english) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0830
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- - Bleu: 0.2201
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- - Gen Len: 18.4023
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  ## Model description
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@@ -45,18 +45,28 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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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 | 219 | 2.1492 | 0.1498 | 18.432 |
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- | No log | 2.0 | 438 | 2.1183 | 0.2009 | 18.4154 |
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- | 2.3302 | 3.0 | 657 | 2.0982 | 0.2073 | 18.4083 |
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- | 2.3302 | 4.0 | 876 | 2.0867 | 0.2179 | 18.4054 |
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- | 2.2772 | 5.0 | 1095 | 2.0830 | 0.2201 | 18.4023 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: google-t5/t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # opus_books_model_english
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+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0262
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+ - Bleu: 0.2611
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+ - Gen Len: 18.4414
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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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 | 219 | 2.3885 | 0.0114 | 18.7877 |
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+ | No log | 2.0 | 438 | 2.2908 | 0.0849 | 18.544 |
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+ | 2.6058 | 3.0 | 657 | 2.2299 | 0.1009 | 18.4923 |
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+ | 2.6058 | 4.0 | 876 | 2.1865 | 0.1334 | 18.5091 |
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+ | 2.3958 | 5.0 | 1095 | 2.1510 | 0.1479 | 18.4726 |
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+ | 2.3958 | 6.0 | 1314 | 2.1218 | 0.1947 | 18.4471 |
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+ | 2.3164 | 7.0 | 1533 | 2.0984 | 0.2254 | 18.4531 |
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+ | 2.3164 | 8.0 | 1752 | 2.0793 | 0.2388 | 18.4211 |
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+ | 2.3164 | 9.0 | 1971 | 2.0641 | 0.2387 | 18.4614 |
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+ | 2.2674 | 10.0 | 2190 | 2.0523 | 0.2476 | 18.4463 |
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+ | 2.2674 | 11.0 | 2409 | 2.0427 | 0.2485 | 18.4343 |
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+ | 2.2366 | 12.0 | 2628 | 2.0353 | 0.2555 | 18.4383 |
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+ | 2.2366 | 13.0 | 2847 | 2.0302 | 0.2561 | 18.4394 |
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+ | 2.2177 | 14.0 | 3066 | 2.0273 | 0.2597 | 18.4366 |
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+ | 2.2177 | 15.0 | 3285 | 2.0262 | 0.2611 | 18.4414 |
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  ### Framework versions
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