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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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model-index: |
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- name: token-classification-llmlingua2-xlm-roberta-42k_merge_1_epoch |
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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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# token-classification-llmlingua2-xlm-roberta-42k_merge_1_epoch |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4988 |
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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: 96 |
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- eval_batch_size: 96 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6547 | 0.14 | 50 | 0.5426 | |
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| 0.5449 | 0.28 | 100 | 0.5292 | |
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| 0.5321 | 0.42 | 150 | 0.5176 | |
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| 0.5241 | 0.56 | 200 | 0.5114 | |
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| 0.5176 | 0.7 | 250 | 0.5059 | |
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| 0.5108 | 0.84 | 300 | 0.5011 | |
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| 0.5049 | 0.98 | 350 | 0.4990 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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