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--- |
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base_model: vinai/phobert-base-v2 |
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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-phobert-bctn-2308_sample-10_epoch_best_data |
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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-phobert-bctn-2308_sample-10_epoch_best_data |
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3044 |
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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: 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 58 | 0.3799 | |
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| No log | 2.0 | 116 | 0.3286 | |
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| No log | 3.0 | 174 | 0.3129 | |
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| No log | 4.0 | 232 | 0.3105 | |
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| No log | 5.0 | 290 | 0.3104 | |
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| No log | 6.0 | 348 | 0.3064 | |
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| No log | 7.0 | 406 | 0.3045 | |
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| No log | 8.0 | 464 | 0.3049 | |
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| 0.3309 | 9.0 | 522 | 0.3044 | |
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| 0.3309 | 10.0 | 580 | 0.3054 | |
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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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