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---
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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: DSPFirst-Finetuning-5
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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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# DSPFirst-Finetuning-5
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This model is a fine-tuned version of [ahotrod/electra_large_discriminator_squad2_512](https://huggingface.co/ahotrod/electra_large_discriminator_squad2_512) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9496
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- Exact: 64.0557
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- F1: 70.2957
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- Combined: 67.4877
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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: 6
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- eval_batch_size: 6
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- seed: 42
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- gradient_accumulation_steps: 86
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- total_train_batch_size: 516
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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 | F1 | Combined |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:|
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| 1.9415 | 0.86 | 20 | 1.1685 | 60.2595 | 68.1892 | 64.6208 |
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| 1.5838 | 1.73 | 40 | 1.0808 | 64.2960 | 71.5666 | 68.2948 |
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| 1.8123 | 2.6 | 60 | 1.1840 | 64.6324 | 72.3829 | 68.8952 |
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| 1.2597 | 3.47 | 80 | 0.9535 | 64.1038 | 70.9803 | 67.8858 |
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| 1.1145 | 4.34 | 100 | 0.8810 | 64.9688 | 71.3201 | 68.4620 |
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| 0.9903 | 5.22 | 120 | 0.9460 | 66.0259 | 72.5939 | 69.6383 |
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| 0.9398 | 6.09 | 140 | 0.8476 | 63.1908 | 69.1036 | 66.4428 |
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| 0.9181 | 6.95 | 160 | 0.9036 | 65.4974 | 71.8701 | 69.0024 |
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| 0.9562 | 7.82 | 180 | 0.9073 | 65.1129 | 71.1841 | 68.4521 |
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| 1.0098 | 8.69 | 200 | 0.9470 | 64.5843 | 70.8046 | 68.0055 |
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| 1.0186 | 9.56 | 220 | 0.9496 | 64.0557 | 70.2957 | 67.4877 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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