roberta-base fold 4
Browse files- README.md +70 -0
- tokenizer.json +8 -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: roberta-base
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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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- f1
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- precision
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- recall
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model-index:
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- name: roberta-base_fold_4
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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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# roberta-base_fold_4
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0356
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- Accuracy: 0.9932
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- F1: 0.9874
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- Precision: 0.9949
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- Recall: 0.9800
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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: 38
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- eval_batch_size: 38
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.0305 | 1.0 | 3983 | 0.0433 | 0.9901 | 0.9817 | 0.9849 | 0.9784 |
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| 0.0205 | 2.0 | 7966 | 0.0350 | 0.9928 | 0.9866 | 0.9935 | 0.9797 |
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| 0.0139 | 3.0 | 11949 | 0.0356 | 0.9932 | 0.9874 | 0.9949 | 0.9800 |
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### Framework versions
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- Transformers 5.3.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.6.1
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- Tokenizers 0.22.2
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tokenizer.json
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding":
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"added_tokens": [
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{
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"id": 0,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": {
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"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 1,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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},
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"added_tokens": [
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{
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"id": 0,
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