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--- |
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library_name: transformers |
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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: Ms_Marcoasksciencemodeling |
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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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# Ms_Marcoasksciencemodeling |
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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: 0.4125 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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| 0.927 | 1.0 | 2000 | 0.8240 | |
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| 0.7677 | 2.0 | 4000 | 0.6698 | |
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| 0.6902 | 3.0 | 6000 | 0.5840 | |
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| 0.6021 | 4.0 | 8000 | 0.5648 | |
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| 0.5112 | 5.0 | 10000 | 0.5046 | |
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| 0.5298 | 6.0 | 12000 | 0.4691 | |
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| 0.5111 | 7.0 | 14000 | 0.4506 | |
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| 0.4814 | 8.0 | 16000 | 0.4343 | |
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| 0.4725 | 9.0 | 18000 | 0.4140 | |
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| 0.4238 | 10.0 | 20000 | 0.4214 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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