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--- |
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license: mit |
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base_model: 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: MRR-Roberta_without_squal_15k |
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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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# MRR-Roberta_without_squal_15k |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1563 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.8327 | 1.0 | 5797 | 0.9889 | |
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| 0.7944 | 2.0 | 11594 | 1.0074 | |
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| 0.6759 | 3.0 | 17391 | 0.7689 | |
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| 0.63 | 4.0 | 23188 | 0.6830 | |
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| 0.508 | 5.0 | 28985 | 0.7813 | |
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| 0.5907 | 6.0 | 34782 | 0.7577 | |
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| 0.4612 | 7.0 | 40579 | 0.7701 | |
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| 0.4485 | 8.0 | 46376 | 0.8050 | |
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| 0.3881 | 9.0 | 52173 | 0.8276 | |
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| 0.4072 | 10.0 | 57970 | 0.8701 | |
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| 0.3177 | 11.0 | 63767 | 0.9870 | |
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| 0.2954 | 12.0 | 69564 | 0.9968 | |
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| 0.2881 | 13.0 | 75361 | 1.1037 | |
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| 0.2106 | 14.0 | 81158 | 1.1053 | |
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| 0.2564 | 15.0 | 86955 | 1.1563 | |
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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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