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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: tuned_Videberta_base_after_big |
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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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# tuned_Videberta_base_after_big |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2816 |
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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: 8 |
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- eval_batch_size: 8 |
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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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| 2.2435 | 1.0 | 1369 | 1.9326 | |
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| 2.038 | 2.0 | 2738 | 1.8181 | |
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| 1.8689 | 3.0 | 4107 | 1.6199 | |
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| 1.7463 | 4.0 | 5476 | 1.5103 | |
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| 1.5708 | 5.0 | 6845 | 1.4584 | |
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| 1.4138 | 6.0 | 8214 | 1.4221 | |
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| 1.3471 | 7.0 | 9583 | 1.3381 | |
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| 1.2514 | 8.0 | 10952 | 1.2927 | |
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| 1.2016 | 9.0 | 12321 | 1.2848 | |
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| 1.1532 | 10.0 | 13690 | 1.2816 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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