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LGLT
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output_dir_train_on_subset

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

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Files changed (3) hide show
  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. 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.it
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  split: validation
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- args: PAN-X.it
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.8317486564696155
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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: 0.3268
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- - F1: 0.8317
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  ## Model description
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@@ -64,8 +64,8 @@ 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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- | 0.5918 | 1.0 | 420 | 0.3526 | 0.7755 |
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- | 0.2596 | 2.0 | 840 | 0.3268 | 0.8317 |
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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.en
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  split: validation
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+ args: PAN-X.en
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.7047724750277469
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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: 0.4571
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+ - F1: 0.7048
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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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+ | 0.8816 | 1.0 | 295 | 0.5474 | 0.5668 |
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+ | 0.4609 | 2.0 | 590 | 0.4571 | 0.7048 |
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  ### Framework versions
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