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ShynBui
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Bartpho_spelling_correction

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Files changed (3) hide show
  1. README.md +13 -12
  2. model.safetensors +1 -1
  3. runs/Aug09_07-36-20_d044e96ac5b3/events.out.tfevents.1723188987.d044e96ac5b3.1299.0 +2 -2
README.md CHANGED
@@ -4,8 +4,6 @@ tags:
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  model-index:
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  - name: Bartpho_spelling_correction
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  results: []
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- datasets:
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- - ShynBui/Vietnamese_spelling_error
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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
@@ -15,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0092
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  ## Model description
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@@ -49,14 +47,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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- | 0.0071 | 0.1111 | 2000 | 0.0097 |
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- | 0.0069 | 0.2222 | 4000 | 0.0099 |
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- | 0.006 | 0.3333 | 6000 | 0.0095 |
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- | 0.0053 | 0.4445 | 8000 | 0.0094 |
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- | 0.005 | 0.5556 | 10000 | 0.0095 |
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- | 0.0046 | 0.6667 | 12000 | 0.0094 |
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- | 0.0044 | 0.7778 | 14000 | 0.0093 |
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- | 0.0042 | 0.8889 | 16000 | 0.0092 |
 
 
 
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  ### Framework versions
@@ -64,4 +65,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.42.4
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: Bartpho_spelling_correction
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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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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0025
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.0122 | 0.0842 | 2000 | 0.0067 |
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+ | 0.0084 | 0.1684 | 4000 | 0.0053 |
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+ | 0.007 | 0.2526 | 6000 | 0.0045 |
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+ | 0.0062 | 0.3369 | 8000 | 0.0040 |
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+ | 0.0054 | 0.4211 | 10000 | 0.0036 |
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+ | 0.0051 | 0.5053 | 12000 | 0.0034 |
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+ | 0.0046 | 0.5895 | 14000 | 0.0032 |
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+ | 0.0043 | 0.6737 | 16000 | 0.0029 |
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+ | 0.0039 | 0.7579 | 18000 | 0.0027 |
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+ | 0.0038 | 0.8421 | 20000 | 0.0026 |
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+ | 0.0035 | 0.9263 | 22000 | 0.0025 |
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  ### Framework versions
 
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  - Transformers 4.42.4
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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