Training complete
Browse files- README.md +21 -16
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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metrics:
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- name: F1
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type: f1
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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-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.
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- F1: 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
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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: 0.8614609571788412
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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: 0.6731
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- F1: 0.8615
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 0.6468 | 1.0 | 739 | 0.3680 | 0.7084 |
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| 0.3085 | 2.0 | 1478 | 0.3194 | 0.7394 |
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| 0.2155 | 3.0 | 2217 | 0.4131 | 0.7670 |
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| 0.157 | 4.0 | 2956 | 0.3638 | 0.8077 |
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| 0.1061 | 5.0 | 3695 | 0.3636 | 0.7819 |
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| 0.08 | 6.0 | 4434 | 0.4743 | 0.8586 |
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| 0.0593 | 7.0 | 5173 | 0.3827 | 0.8184 |
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| 0.0332 | 8.0 | 5912 | 0.4892 | 0.8502 |
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| 0.0244 | 9.0 | 6651 | 0.5380 | 0.8387 |
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| 0.0206 | 10.0 | 7390 | 0.5505 | 0.8653 |
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| 0.0119 | 11.0 | 8129 | 0.5966 | 0.8647 |
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| 0.0064 | 12.0 | 8868 | 0.5154 | 0.8657 |
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| 0.0036 | 13.0 | 9607 | 0.6321 | 0.8653 |
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| 0.0028 | 14.0 | 10346 | 0.6662 | 0.8656 |
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| 0.0014 | 15.0 | 11085 | 0.6731 | 0.8615 |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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