End of training
Browse files- README.md +67 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: Ariffiq99/e_care_xlm_roberta_large_finetuned
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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_e_care_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_e_care_xlm_roberta_large_finetuned
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This model is a fine-tuned version of [Ariffiq99/e_care_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/e_care_xlm_roberta_large_finetuned) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0075
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- F1: 0.7458
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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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| 1.4573 | 1.0 | 2880 | 1.6140 | 0.6625 |
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| 1.2481 | 2.0 | 5760 | 1.0462 | 0.7153 |
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| 0.9334 | 3.0 | 8640 | 1.5688 | 0.6944 |
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| 0.8783 | 4.0 | 11520 | 1.0777 | 0.7278 |
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| 0.8349 | 5.0 | 14400 | 0.9279 | 0.7347 |
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| 0.723 | 6.0 | 17280 | 1.0149 | 0.7403 |
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| 0.7146 | 7.0 | 20160 | 1.0733 | 0.75 |
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| 0.56 | 8.0 | 23040 | 1.0075 | 0.7458 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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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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size 2239614548
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version https://git-lfs.github.com/spec/v1
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size 2239614548
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