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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-41k_remove_stop_word_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-41k_remove_stop_word_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: 0.2371 |
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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: 64 |
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- eval_batch_size: 64 |
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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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| 0.2156 | 0.1 | 50 | 0.3222 | |
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| 0.143 | 0.19 | 100 | 0.2533 | |
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| 0.131 | 0.29 | 150 | 0.2444 | |
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| 0.1297 | 0.39 | 200 | 0.2433 | |
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| 0.1282 | 0.48 | 250 | 0.2413 | |
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| 0.1272 | 0.58 | 300 | 0.2436 | |
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| 0.125 | 0.68 | 350 | 0.2382 | |
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| 0.1274 | 0.77 | 400 | 0.2383 | |
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| 0.1263 | 0.87 | 450 | 0.2376 | |
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| 0.1232 | 0.97 | 500 | 0.2371 | |
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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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