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xlm-roberta-base-finetuned-wolof

Token Classification
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PyTorch
xlm-roberta
Generated from Trainer
Eval Results
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  1. README.md +11 -11
  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: 0.8514106583072101
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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 masakhaner2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4671
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- - F1: 0.8514
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5.1193219561473124e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.6236 | 1.0 | 739 | 0.3714 | 0.7072 |
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- | 0.296 | 2.0 | 1478 | 0.3902 | 0.7642 |
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- | 0.1785 | 3.0 | 2217 | 0.3680 | 0.7728 |
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- | 0.1222 | 4.0 | 2956 | 0.3825 | 0.8232 |
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- | 0.0727 | 5.0 | 3695 | 0.3973 | 0.8274 |
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- | 0.042 | 6.0 | 4434 | 0.5533 | 0.8460 |
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- | 0.0233 | 7.0 | 5173 | 0.4671 | 0.8514 |
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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: 0.8537350910232265
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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 masakhaner2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2257
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+ - F1: 0.8537
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 4.876283744888558e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.4246 | 1.0 | 739 | 0.2225 | 0.7077 |
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+ | 0.1938 | 2.0 | 1478 | 0.1952 | 0.7762 |
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+ | 0.1226 | 3.0 | 2217 | 0.1778 | 0.8077 |
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+ | 0.0748 | 4.0 | 2956 | 0.1746 | 0.8303 |
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+ | 0.0466 | 5.0 | 3695 | 0.1864 | 0.8419 |
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+ | 0.0263 | 6.0 | 4434 | 0.2300 | 0.8483 |
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+ | 0.0137 | 7.0 | 5173 | 0.2257 | 0.8537 |
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  ### Framework versions
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