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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: fine-tuned-QAS-Squad_2-with-roberta-large
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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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# fine-tuned-QAS-Squad_2-with-roberta-large
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7481
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- Exact Match: 71.7912
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- F1: 85.1553
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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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 | Exact Match | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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| 0.957 | 0.5 | 463 | 0.8279 | 64.8987 | 79.7543 |
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| 0.7977 | 1.0 | 926 | 0.7340 | 68.8325 | 82.9258 |
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| 0.6992 | 1.5 | 1389 | 0.7095 | 69.8327 | 83.3647 |
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| 0.6556 | 2.0 | 1852 | 0.6849 | 70.2278 | 84.0408 |
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| 0.5743 | 2.5 | 2315 | 0.6992 | 70.4715 | 84.3736 |
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| 0.574 | 3.0 | 2778 | 0.6917 | 70.9507 | 85.1835 |
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| 0.4734 | 3.5 | 3241 | 0.7291 | 70.8330 | 84.8717 |
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| 0.4733 | 4.0 | 3704 | 0.6828 | 71.6567 | 85.1160 |
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| 0.4171 | 4.5 | 4167 | 0.7481 | 71.7912 | 85.1553 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.2.0
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- Tokenizers 0.13.2
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