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update model card 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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+
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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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+
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+ # rap_phase2_22jan_8i_v1
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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