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--- |
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license: mit |
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base_model: ai-forever/ruElectra-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: electra128 |
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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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# electra128 |
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This model is a fine-tuned version of [ai-forever/ruElectra-small](https://huggingface.co/ai-forever/ruElectra-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2154 |
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- Accuracy: 0.5134 |
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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: 128 |
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- eval_batch_size: 128 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.4844 | 1.0 | 1407 | 1.4000 | 0.4018 | |
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| 1.3624 | 2.0 | 2814 | 1.3090 | 0.4629 | |
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| 1.2965 | 3.0 | 4221 | 1.2579 | 0.4897 | |
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| 1.2577 | 4.0 | 5628 | 1.2271 | 0.5062 | |
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| 1.2402 | 5.0 | 7035 | 1.2154 | 0.5134 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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