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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_19jan_22i_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_19jan_22i_v1 |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0024 |
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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: 6 |
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- eval_batch_size: 6 |
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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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| 0.0487 | 1.0 | 17996 | 0.0351 | |
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| 0.0289 | 2.0 | 35992 | 0.0197 | |
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| 0.0219 | 3.0 | 53988 | 0.0076 | |
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| 0.0126 | 4.0 | 71984 | 0.0027 | |
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| 0.0128 | 5.0 | 89980 | 0.0036 | |
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| 0.0 | 6.0 | 107976 | 0.0025 | |
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| 0.0002 | 7.0 | 125972 | 0.0026 | |
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| 0.0002 | 8.0 | 143968 | 0.0027 | |
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| 0.0014 | 9.0 | 161964 | 0.0024 | |
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| 0.0 | 10.0 | 179960 | 0.0024 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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