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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: videberta-xsmall-finetuned-squad |
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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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# videberta-xsmall-finetuned-squad |
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This model is a fine-tuned version of [Fsoft-AIC/videberta-xsmall](https://huggingface.co/Fsoft-AIC/videberta-xsmall) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6690 |
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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: 6e-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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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.0744 | 1.0 | 1196 | 2.8061 | |
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| 2.432 | 2.0 | 2392 | 2.3660 | |
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| 2.0159 | 3.0 | 3588 | 2.2795 | |
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| 1.7175 | 4.0 | 4784 | 2.1633 | |
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| 1.4843 | 5.0 | 5980 | 2.1167 | |
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| 1.2682 | 6.0 | 7176 | 2.2753 | |
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| 1.1 | 7.0 | 8372 | 2.4245 | |
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| 0.9674 | 8.0 | 9568 | 2.5100 | |
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| 0.8752 | 9.0 | 10764 | 2.6157 | |
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| 0.7952 | 10.0 | 11960 | 2.6690 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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