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Model save

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  1. README.md +8 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- language:
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- - zh
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- - yue
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  base_model: indiejoseph/bart-base-cantonese
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  tags:
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  - generated_from_trainer
@@ -19,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indiejoseph/bart-base-cantonese](https://huggingface.co/indiejoseph/bart-base-cantonese) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1612
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- - Bleu: 88.1708
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- - Gen Len: 41.6859
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  ## Model description
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@@ -46,18 +43,16 @@ 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: 6.0
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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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- | 0.2219 | 1.0 | 2336 | 0.1816 | 21.2068 | 19.2422 |
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- | 0.1479 | 2.0 | 4672 | 0.1609 | 21.6783 | 19.2471 |
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- | 0.1092 | 3.0 | 7008 | 0.1534 | 21.8526 | 19.2463 |
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- | 0.0856 | 4.0 | 9344 | 0.1525 | 22.0841 | 19.2482 |
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- | 0.0667 | 5.0 | 11680 | 0.1588 | 22.1943 | 19.2467 |
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- | 0.0549 | 6.0 | 14016 | 0.1612 | 22.2237 | 19.2467 |
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  ### Framework versions
 
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  ---
 
 
 
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  base_model: indiejoseph/bart-base-cantonese
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  tags:
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  - generated_from_trainer
 
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  This model is a fine-tuned version of [indiejoseph/bart-base-cantonese](https://huggingface.co/indiejoseph/bart-base-cantonese) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5042
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+ - Bleu: 36.3458
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+ - Gen Len: 19.8785
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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: 4.0
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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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+ | 0.135 | 1.0 | 3521 | 0.4865 | 35.3577 | 19.8859 |
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+ | 0.0983 | 2.0 | 7042 | 0.4813 | 36.0938 | 19.8796 |
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+ | 0.072 | 3.0 | 10563 | 0.4847 | 36.193 | 19.8817 |
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+ | 0.0552 | 4.0 | 14084 | 0.5042 | 36.3458 | 19.8785 |
 
 
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  ### Framework versions
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