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update model card README.md
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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-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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