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End of training
Browse files- README.md +13 -12
- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Precision
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type: precision
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value: 0.
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- name: Recall
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type: recall
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value: 0.
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- name: F1
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type: f1
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value: 0.
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- name: Accuracy
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type: accuracy
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value: 0.
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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-large](https://huggingface.co/xlm-roberta-large) on the conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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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:
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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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### Framework versions
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metrics:
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- name: Precision
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type: precision
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value: 0.9244064245810056
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- name: Recall
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type: recall
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value: 0.9375
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- name: F1
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type: f1
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value: 0.9309071729957805
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- name: Accuracy
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type: accuracy
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value: 0.9856142995585226
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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-large](https://huggingface.co/xlm-roberta-large) on the conll2003 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1185
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- Precision: 0.9244
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- Recall: 0.9375
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- F1: 0.9309
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- Accuracy: 0.9856
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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: 3
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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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| 0.1533 | 1.0 | 878 | 0.1178 | 0.8950 | 0.9053 | 0.9001 | 0.9805 |
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| 0.0303 | 2.0 | 1756 | 0.1157 | 0.9157 | 0.9331 | 0.9243 | 0.9843 |
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| 0.0164 | 3.0 | 2634 | 0.1185 | 0.9244 | 0.9375 | 0.9309 | 0.9856 |
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### Framework versions
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pytorch_model.bin
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