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--- |
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license: cc-by-4.0 |
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base_model: deepset/roberta-base-squad2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: shipping_qa_model_30_04_24 |
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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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# shipping_qa_model_30_04_24 |
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8070 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 28 | 5.7792 | |
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| No log | 2.0 | 56 | 5.4899 | |
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| No log | 3.0 | 84 | 5.3744 | |
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| No log | 4.0 | 112 | 5.2672 | |
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| No log | 5.0 | 140 | 5.0586 | |
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| No log | 6.0 | 168 | 4.8332 | |
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| No log | 7.0 | 196 | 4.7809 | |
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| No log | 8.0 | 224 | 4.7767 | |
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| No log | 9.0 | 252 | 4.6233 | |
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| No log | 10.0 | 280 | 4.5430 | |
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| No log | 11.0 | 308 | 4.4714 | |
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| No log | 12.0 | 336 | 4.3689 | |
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| No log | 13.0 | 364 | 4.3410 | |
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| No log | 14.0 | 392 | 4.2705 | |
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| No log | 15.0 | 420 | 4.2760 | |
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| No log | 16.0 | 448 | 4.1572 | |
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| No log | 17.0 | 476 | 4.1465 | |
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| 4.5743 | 18.0 | 504 | 4.0708 | |
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| 4.5743 | 19.0 | 532 | 4.0196 | |
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| 4.5743 | 20.0 | 560 | 4.0183 | |
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| 4.5743 | 21.0 | 588 | 3.9759 | |
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| 4.5743 | 22.0 | 616 | 3.9140 | |
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| 4.5743 | 23.0 | 644 | 3.9308 | |
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| 4.5743 | 24.0 | 672 | 3.8611 | |
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| 4.5743 | 25.0 | 700 | 3.8159 | |
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| 4.5743 | 26.0 | 728 | 3.8126 | |
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| 4.5743 | 27.0 | 756 | 3.8272 | |
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| 4.5743 | 28.0 | 784 | 3.8185 | |
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| 4.5743 | 29.0 | 812 | 3.8074 | |
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| 4.5743 | 30.0 | 840 | 3.8070 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.2+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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