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--- |
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base_model: klue/roberta-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: pogny-128-0.1 |
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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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# pogny-128-0.1 |
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6873 |
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- Accuracy: 0.4376 |
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- F1: 0.2665 |
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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: 0.1 |
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- train_batch_size: 128 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 42.1657 | 1.0 | 603 | 24.7694 | 0.4376 | 0.2665 | |
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| 38.0547 | 2.0 | 1206 | 34.6085 | 0.2545 | 0.1032 | |
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| 34.4507 | 3.0 | 1809 | 47.2521 | 0.0240 | 0.0011 | |
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| 33.6528 | 4.0 | 2412 | 23.6900 | 0.0702 | 0.0092 | |
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| 29.4715 | 5.0 | 3015 | 13.6478 | 0.0107 | 0.0002 | |
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| 26.073 | 6.0 | 3618 | 29.8545 | 0.4376 | 0.2665 | |
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| 23.0398 | 7.0 | 4221 | 17.9423 | 0.4376 | 0.2665 | |
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| 20.1565 | 8.0 | 4824 | 18.5313 | 0.0702 | 0.0092 | |
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| 17.9295 | 9.0 | 5427 | 16.2984 | 0.4376 | 0.2665 | |
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| 12.4633 | 10.0 | 6030 | 11.9847 | 0.2545 | 0.1032 | |
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| 9.5341 | 11.0 | 6633 | 10.4590 | 0.4376 | 0.2665 | |
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| 8.1157 | 12.0 | 7236 | 3.1051 | 0.4376 | 0.2665 | |
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| 5.1415 | 13.0 | 7839 | 3.4676 | 0.0702 | 0.0092 | |
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| 3.3891 | 14.0 | 8442 | 2.0901 | 0.4376 | 0.2665 | |
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| 1.854 | 15.0 | 9045 | 1.6873 | 0.4376 | 0.2665 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0a0+b5021ba |
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- Datasets 2.6.2 |
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- Tokenizers 0.14.1 |
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