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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: QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base |
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results: [] |
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datasets: |
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- squad |
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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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# QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base |
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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: 13.6582 |
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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: 2 |
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- eval_batch_size: 2 |
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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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| 0.018 | 1.0 | 19000 | 13.0396 | |
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| 0.0481 | 2.0 | 38000 | 10.5261 | |
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| 0.032 | 3.0 | 57000 | 10.4920 | |
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| 0.0025 | 4.0 | 76000 | 12.6251 | |
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| 0.0005 | 5.0 | 95000 | 12.7548 | |
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| 0.0 | 6.0 | 114000 | 12.1423 | |
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| 0.0 | 7.0 | 133000 | 11.4364 | |
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| 0.0044 | 8.0 | 152000 | 11.7476 | |
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| 0.0 | 9.0 | 171000 | 13.3022 | |
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| 0.0 | 10.0 | 190000 | 13.6582 | |
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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 2.14.4 |
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- Tokenizers 0.13.3 |
