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---
license: apache-2.0
base_model: judy93536/distilroberta-rbm231k-ep20-op40
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilroberta-rbm231k-ep20-op40-news_api_all_5p1k
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-rbm231k-ep20-op40-news_api_all_5p1k
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.
It achieves the following results on the evaluation set:
- Loss: 0.2430
- Accuracy: 0.9207
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.53335054745316e-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.4
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 256 | 1.0947 | 0.3503 |
| 1.0947 | 2.0 | 512 | 1.0886 | 0.4100 |
| 1.0947 | 3.0 | 768 | 1.0783 | 0.4403 |
| 1.0814 | 4.0 | 1024 | 1.0618 | 0.4569 |
| 1.0814 | 5.0 | 1280 | 1.0324 | 0.4501 |
| 1.048 | 6.0 | 1536 | 0.9890 | 0.4795 |
| 1.048 | 7.0 | 1792 | 0.9498 | 0.5068 |
| 0.9796 | 8.0 | 2048 | 0.9066 | 0.5724 |
| 0.9796 | 9.0 | 2304 | 0.8510 | 0.6468 |
| 0.8954 | 10.0 | 2560 | 0.7850 | 0.6840 |
| 0.8954 | 11.0 | 2816 | 0.7160 | 0.7094 |
| 0.7824 | 12.0 | 3072 | 0.6495 | 0.7495 |
| 0.7824 | 13.0 | 3328 | 0.5894 | 0.7818 |
| 0.6548 | 14.0 | 3584 | 0.5305 | 0.8151 |
| 0.6548 | 15.0 | 3840 | 0.4613 | 0.8620 |
| 0.5446 | 16.0 | 4096 | 0.3921 | 0.8836 |
| 0.5446 | 17.0 | 4352 | 0.3424 | 0.8933 |
| 0.4323 | 18.0 | 4608 | 0.3111 | 0.9012 |
| 0.4323 | 19.0 | 4864 | 0.2838 | 0.9070 |
| 0.3524 | 20.0 | 5120 | 0.2739 | 0.9100 |
| 0.3524 | 21.0 | 5376 | 0.2674 | 0.9090 |
| 0.3148 | 22.0 | 5632 | 0.2583 | 0.9119 |
| 0.3148 | 23.0 | 5888 | 0.2517 | 0.9139 |
| 0.2931 | 24.0 | 6144 | 0.2496 | 0.9159 |
| 0.2931 | 25.0 | 6400 | 0.2451 | 0.9159 |
| 0.2703 | 26.0 | 6656 | 0.2443 | 0.9178 |
| 0.2703 | 27.0 | 6912 | 0.2435 | 0.9198 |
| 0.2649 | 28.0 | 7168 | 0.2424 | 0.9198 |
| 0.2649 | 29.0 | 7424 | 0.2431 | 0.9207 |
| 0.2607 | 30.0 | 7680 | 0.2430 | 0.9207 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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