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update model card README.md
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README.md
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: rap_phase2_22jan_8i_v1
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# rap_phase2_22jan_8i_v1
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0041
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:------:|:---------------:|
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| 0.1006 | 1.0 | 12024 | 0.0713 |
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| 0.026 | 2.0 | 24048 | 0.0370 |
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| 0.0404 | 3.0 | 36072 | 0.0359 |
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| 0.0288 | 4.0 | 48096 | 0.0100 |
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| 0.0131 | 5.0 | 60120 | 0.0152 |
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| 0.0181 | 6.0 | 72144 | 0.0067 |
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| 0.0156 | 7.0 | 84168 | 0.0031 |
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| 0.0 | 8.0 | 96192 | 0.0038 |
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| 0.0 | 9.0 | 108216 | 0.0043 |
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| 0.0006 | 10.0 | 120240 | 0.0041 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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