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--- |
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license: apache-2.0 |
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base_model: judy93536/distilroberta-rbm231k-ep20-op40 |
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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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model-index: |
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- name: distilroberta-rbm231k-ep20-op40-news_api_all_5p1k |
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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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# distilroberta-rbm231k-ep20-op40-news_api_all_5p1k |
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This model is a fine-tuned version of [judy93536/distilroberta-rbm231k-ep20-op40](https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2430 |
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- Accuracy: 0.9207 |
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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: 5.53335054745316e-07 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.4 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 256 | 1.0947 | 0.3503 | |
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| 1.0947 | 2.0 | 512 | 1.0886 | 0.4100 | |
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| 1.0947 | 3.0 | 768 | 1.0783 | 0.4403 | |
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| 1.0814 | 4.0 | 1024 | 1.0618 | 0.4569 | |
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| 1.0814 | 5.0 | 1280 | 1.0324 | 0.4501 | |
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| 1.048 | 6.0 | 1536 | 0.9890 | 0.4795 | |
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| 1.048 | 7.0 | 1792 | 0.9498 | 0.5068 | |
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| 0.9796 | 8.0 | 2048 | 0.9066 | 0.5724 | |
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| 0.9796 | 9.0 | 2304 | 0.8510 | 0.6468 | |
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| 0.8954 | 10.0 | 2560 | 0.7850 | 0.6840 | |
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| 0.8954 | 11.0 | 2816 | 0.7160 | 0.7094 | |
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| 0.7824 | 12.0 | 3072 | 0.6495 | 0.7495 | |
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| 0.7824 | 13.0 | 3328 | 0.5894 | 0.7818 | |
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| 0.6548 | 14.0 | 3584 | 0.5305 | 0.8151 | |
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| 0.6548 | 15.0 | 3840 | 0.4613 | 0.8620 | |
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| 0.5446 | 16.0 | 4096 | 0.3921 | 0.8836 | |
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| 0.5446 | 17.0 | 4352 | 0.3424 | 0.8933 | |
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| 0.4323 | 18.0 | 4608 | 0.3111 | 0.9012 | |
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| 0.4323 | 19.0 | 4864 | 0.2838 | 0.9070 | |
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| 0.3524 | 20.0 | 5120 | 0.2739 | 0.9100 | |
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| 0.3524 | 21.0 | 5376 | 0.2674 | 0.9090 | |
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| 0.3148 | 22.0 | 5632 | 0.2583 | 0.9119 | |
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| 0.3148 | 23.0 | 5888 | 0.2517 | 0.9139 | |
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| 0.2931 | 24.0 | 6144 | 0.2496 | 0.9159 | |
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| 0.2931 | 25.0 | 6400 | 0.2451 | 0.9159 | |
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| 0.2703 | 26.0 | 6656 | 0.2443 | 0.9178 | |
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| 0.2703 | 27.0 | 6912 | 0.2435 | 0.9198 | |
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| 0.2649 | 28.0 | 7168 | 0.2424 | 0.9198 | |
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| 0.2649 | 29.0 | 7424 | 0.2431 | 0.9207 | |
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| 0.2607 | 30.0 | 7680 | 0.2430 | 0.9207 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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