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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilr-lr1e05-wd0.01-bs32 |
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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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# distilr-lr1e05-wd0.01-bs32 |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2746 |
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- Rmse: 0.5241 |
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- Mse: 0.2746 |
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- Mae: 0.4153 |
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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: 1e-05 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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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 | Rmse | Mse | Mae | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| |
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| 0.2769 | 1.0 | 623 | 0.2740 | 0.5234 | 0.2740 | 0.4230 | |
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| 0.2735 | 2.0 | 1246 | 0.2726 | 0.5221 | 0.2726 | 0.4093 | |
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| 0.272 | 3.0 | 1869 | 0.2732 | 0.5227 | 0.2732 | 0.4190 | |
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| 0.2699 | 4.0 | 2492 | 0.2737 | 0.5231 | 0.2737 | 0.4027 | |
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| 0.2682 | 5.0 | 3115 | 0.2783 | 0.5276 | 0.2783 | 0.4265 | |
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| 0.2665 | 6.0 | 3738 | 0.2746 | 0.5241 | 0.2746 | 0.4153 | |
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### Framework versions |
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- Transformers 4.19.0.dev0 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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