Model save
Browse files- README.md +64 -0
- logs/events.out.tfevents.1730982732.cc0e55597f43.30.0 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: ai-forever/ruElectra-large
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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: electra_test
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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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# electra_test
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This model is a fine-tuned version of [ai-forever/ruElectra-large](https://huggingface.co/ai-forever/ruElectra-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0260
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- F1: 0.7591
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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: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 32
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.5861 | 1.0 | 515 | 0.5645 | 0.7542 |
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| 0.4272 | 2.0 | 1030 | 0.6181 | 0.7612 |
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| 0.2443 | 3.0 | 1545 | 0.7785 | 0.7546 |
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| 0.1023 | 4.0 | 2060 | 1.0260 | 0.7591 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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