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Tirendaz
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multilingual-xlm-roberta-for-ner

Token Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
Tirendaz commited on
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Training completed!

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Files changed (3) hide show
  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.8574354306519514
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1351
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- - F1: 0.8574
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 263 | 0.1637 | 0.8242 |
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- | 0.2218 | 2.0 | 526 | 0.1409 | 0.8448 |
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- | 0.2218 | 3.0 | 789 | 0.1351 | 0.8574 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.8607623700505596
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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 is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1343
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+ - F1: 0.8608
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 263 | 0.1627 | 0.8229 |
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+ | 0.214 | 2.0 | 526 | 0.1410 | 0.8472 |
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+ | 0.214 | 3.0 | 789 | 0.1343 | 0.8608 |
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  ### Framework versions
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