Model save
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: xlm-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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model-index:
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- name: xlm-roberta-base-finetuned-raw
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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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# xlm-roberta-base-finetuned-raw
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6768
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- Accuracy: 0.8686
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- F1: 0.8681
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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: 32
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 0.1644 | 1.0 | 2123 | 0.7022 | 0.8509 | 0.8500 |
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| 0.1186 | 2.0 | 4246 | 0.7210 | 0.8596 | 0.8593 |
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| 0.102 | 3.0 | 6369 | 0.7096 | 0.8633 | 0.8628 |
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| 0.1515 | 4.0 | 8492 | 0.6543 | 0.8691 | 0.8687 |
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| 0.1105 | 5.0 | 10615 | 0.6768 | 0.8686 | 0.8681 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 1112281908
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