---
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