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  1. README.md +11 -23
  2. model.safetensors +1 -1
README.md CHANGED
@@ -2,34 +2,22 @@
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  library_name: transformers
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  tags:
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  - generated_from_trainer
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- datasets:
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- - Hartunka/processed_wikitext-103-raw-v1-rand-5
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  metrics:
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  - accuracy
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  model-index:
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- - name: bert_base_rand_5_v12
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- results:
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- - task:
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- name: Masked Language Modeling
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- type: fill-mask
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- dataset:
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- name: Hartunka/processed_wikitext-103-raw-v1-rand-5
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- type: Hartunka/processed_wikitext-103-raw-v1-rand-5
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.15375487370740804
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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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  should probably proofread and complete it, then remove this comment. -->
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- # bert_base_rand_5_v12
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- This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-rand-5 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.6546
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- - Accuracy: 0.1538
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  ## Model description
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@@ -61,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:-----:|:---------------:|:--------:|
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- | 7.6838 | 4.1982 | 10000 | 7.6350 | 0.1512 |
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- | 7.3816 | 8.3963 | 20000 | 7.6710 | 0.1527 |
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- | 6.784 | 12.5945 | 30000 | 8.5688 | 0.1544 |
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- | 6.4046 | 16.7926 | 40000 | 9.0753 | 0.1523 |
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- | 6.1809 | 20.9908 | 50000 | 9.9393 | 0.1520 |
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  ### Framework versions
 
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  library_name: transformers
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: bert_base_rand_5_v2
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # bert_base_rand_5_v2
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 9.6431
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+ - Accuracy: 0.1513
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:-----:|:---------------:|:--------:|
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+ | 7.6861 | 4.1982 | 10000 | 7.6316 | 0.1506 |
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+ | 7.3707 | 8.3963 | 20000 | 7.6908 | 0.1527 |
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+ | 6.7638 | 12.5945 | 30000 | 8.3261 | 0.1540 |
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+ | 6.3877 | 16.7926 | 40000 | 9.0372 | 0.1519 |
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+ | 6.1372 | 20.9908 | 50000 | 9.6431 | 0.1513 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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