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End of training
Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
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: QA_SYNTHETIC_DATA_TRAIN_REAL_DATA_TEST_xlm_roberta-base
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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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# 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
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pytorch_model.bin
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training_args.bin
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