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fine_tuned_XLMROBERTA_cs_wikann

Token Classification
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xlm-roberta
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stulcrad commited on
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1 Parent(s): 5cababe

Training in progress, step 500

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Files changed (6) hide show
  1. README.md +2 -7
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Feb21_17-15-06_n21/events.out.tfevents.1708532259.n21.1431136.0 +3 -0
  5. sentencepiece.bpe.model +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -6,11 +6,6 @@ tags:
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  model-index:
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  - name: fine_tuned_XLMROBERTA_cs_wikann
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  results: []
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- datasets:
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- - wikiann
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- language:
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- - cs
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- pipeline_tag: token-classification
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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
@@ -18,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # fine_tuned_XLMROBERTA_cs_wikann
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- This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an wikiann dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1216
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  - Overall Precision: 0.8919
@@ -69,4 +64,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.36.2
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.0
 
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  model-index:
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  - name: fine_tuned_XLMROBERTA_cs_wikann
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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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  # fine_tuned_XLMROBERTA_cs_wikann
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+ This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1216
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  - Overall Precision: 0.8919
 
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  - Transformers 4.36.2
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.0
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "xlm-roberta-large",
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  "architectures": [
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  "XLMRobertaForTokenClassification"
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  ],
 
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  {
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+ "_name_or_path": "FacebookAI/xlm-roberta-large",
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  "architectures": [
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  "XLMRobertaForTokenClassification"
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  ],
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