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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-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: CRAB_xlm_roberta_large_finetuned |
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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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# CRAB_xlm_roberta_large_finetuned |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0117 |
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- F1: 0.7278 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 8 |
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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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| 1.3505 | 1.0 | 2880 | 1.1889 | 0.6375 | |
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| 1.0303 | 2.0 | 5760 | 1.2069 | 0.6819 | |
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| 1.0223 | 3.0 | 8640 | 1.1814 | 0.675 | |
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| 1.154 | 4.0 | 11520 | 0.9964 | 0.6722 | |
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| 0.8642 | 5.0 | 14400 | 0.9703 | 0.7 | |
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| 0.773 | 6.0 | 17280 | 1.0314 | 0.6931 | |
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| 0.7892 | 7.0 | 20160 | 1.0537 | 0.7139 | |
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| 0.8371 | 8.0 | 23040 | 1.0117 | 0.7278 | |
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### Framework versions |
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- Transformers 4.41.1 |
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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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