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vonewman
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wolof-finetuned-ner

Token Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Generated from Trainer
Inference Endpoints
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Training complete

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  1. README.md +8 -7
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vonewman/xlm-roberta-large-finetuned-wolof](https://huggingface.co/vonewman/xlm-roberta-large-finetuned-wolof) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2264
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- - Precision: 0.7135
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- - Recall: 0.8639
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- - F1: 0.7815
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- - Accuracy: 0.9831
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 226 | 0.2264 | 0.7135 | 0.8639 | 0.7815 | 0.9831 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vonewman/xlm-roberta-large-finetuned-wolof](https://huggingface.co/vonewman/xlm-roberta-large-finetuned-wolof) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2540
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+ - Precision: 0.7754
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+ - Recall: 0.8810
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+ - F1: 0.8248
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+ - Accuracy: 0.9865
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 226 | 0.2469 | 0.8355 | 0.8810 | 0.8576 | 0.9882 |
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+ | No log | 2.0 | 452 | 0.2540 | 0.7754 | 0.8810 | 0.8248 | 0.9865 |
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  ### Framework versions
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