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xlm-roberta-base-finetuned-panx-de

Token Classification
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xlm-roberta
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Files changed (4) hide show
  1. README.md +8 -8
  2. config.json +1 -0
  3. pytorch_model.bin +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,13 +16,13 @@ model-index:
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  dataset:
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  name: xtreme
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  type: xtreme
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- config: PAN-X.de
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  split: validation
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- args: PAN-X.de
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.8657241810026685
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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: 0.1338
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- - F1: 0.8657
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  ## Model description
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@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.257 | 1.0 | 525 | 0.1557 | 0.8218 |
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- | 0.126 | 2.0 | 1050 | 0.1460 | 0.8521 |
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- | 0.0827 | 3.0 | 1575 | 0.1338 | 0.8657 |
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  ### Framework versions
 
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  dataset:
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  name: xtreme
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  type: xtreme
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+ config: PAN-X.fr
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  split: validation
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+ args: PAN-X.fr
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.17417765541225907
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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: 1.0654
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+ - F1: 0.1742
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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 | 11 | 1.3908 | 0.1030 |
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+ | No log | 2.0 | 22 | 1.1515 | 0.1586 |
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+ | No log | 3.0 | 33 | 1.0654 | 0.1742 |
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  ### Framework versions
config.json CHANGED
@@ -11,6 +11,7 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
 
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  "0": "O",
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  "1": "B-PER",
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  "2": "I-PER",
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "-100": "IGN",
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  "0": "O",
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  "1": "B-PER",
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  "2": "I-PER",
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