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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-DatasetQAS-Squad-ID-with-xlm-roberta-large-without-ITTL-without-freeze-LR-1e-05 |
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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-DatasetQAS-Squad-ID-with-xlm-roberta-large-without-ITTL-without-freeze-LR-1e-05 |
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3876 |
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- Exact Match: 53.6102 |
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- F1: 69.6077 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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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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| 1.5313 | 0.5 | 463 | 1.4235 | 48.7014 | 66.1658 | |
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| 1.3868 | 1.0 | 926 | 1.3193 | 51.7189 | 68.5896 | |
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| 1.2618 | 1.5 | 1389 | 1.2877 | 52.8032 | 69.3561 | |
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| 1.1847 | 2.0 | 1852 | 1.2893 | 53.0218 | 69.7724 | |
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| 1.0884 | 2.5 | 2315 | 1.2777 | 53.3328 | 69.8210 | |
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| 1.0927 | 3.0 | 2778 | 1.2596 | 53.4000 | 69.9664 | |
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| 0.9519 | 3.5 | 3241 | 1.3342 | 53.6102 | 69.6168 | |
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| 0.9591 | 4.0 | 3704 | 1.3078 | 54.0640 | 69.9492 | |
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| 0.8586 | 4.49 | 4167 | 1.3876 | 53.6102 | 69.6077 | |
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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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