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ruRoberta-large_ner
Browse files- README.md +67 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: ai-forever/ruRoberta-large
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: ruRoberta-large_ner
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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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# ruRoberta-large_ner
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This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1151
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- Precision: 0.8182
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- Recall: 0.9
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- F1: 0.8571
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- Accuracy: 0.9671
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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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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 15 | 0.2455 | 0.5385 | 0.7 | 0.6087 | 0.9211 |
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| No log | 2.0 | 30 | 0.1663 | 0.7429 | 0.8667 | 0.8 | 0.9342 |
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| No log | 3.0 | 45 | 0.1151 | 0.8182 | 0.9 | 0.8571 | 0.9671 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.0.dev20230621+cu117
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1417396454
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version https://git-lfs.github.com/spec/v1
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size 1417396454
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