update model card README.md
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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 xtreme 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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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.
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| 0.1263 | 2.0 | 1050 | 0.1382 | 0.8467 |
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| 0.0822 | 3.0 | 1575 | 0.1383 | 0.8593 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.11.0
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- Datasets 2.
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- Tokenizers 0.12.1
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metrics:
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- name: F1
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type: f1
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value: 0.21066588096641128
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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: 0.7880
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- F1: 0.2107
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.9182 | 1.0 | 6000 | 0.7880 | 0.2107 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.11.0
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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