---
license: apache-2.0
base_model: judy93536/distilroberta-rbm231k-ep20-op40
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilroberta-rbm231k-ep20-op40-phrase5k
  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-phrase5k

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: 0.1735
- Accuracy: 0.9459

## 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: 1.113335054745316e-06
- 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: 0.28
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 250  | 1.0641          | 0.6156   |
| 1.0561        | 2.0   | 500  | 0.9262          | 0.6136   |
| 1.0561        | 3.0   | 750  | 0.8124          | 0.6136   |
| 0.8474        | 4.0   | 1000 | 0.7271          | 0.6476   |
| 0.8474        | 5.0   | 1250 | 0.6283          | 0.7237   |
| 0.6495        | 6.0   | 1500 | 0.5066          | 0.7758   |
| 0.6495        | 7.0   | 1750 | 0.3436          | 0.8979   |
| 0.3657        | 8.0   | 2000 | 0.2598          | 0.9189   |
| 0.3657        | 9.0   | 2250 | 0.2117          | 0.9299   |
| 0.2023        | 10.0  | 2500 | 0.2022          | 0.9279   |
| 0.2023        | 11.0  | 2750 | 0.1787          | 0.9329   |
| 0.1518        | 12.0  | 3000 | 0.1632          | 0.9429   |
| 0.1518        | 13.0  | 3250 | 0.1883          | 0.9369   |
| 0.1324        | 14.0  | 3500 | 0.1699          | 0.9409   |
| 0.1324        | 15.0  | 3750 | 0.1704          | 0.9439   |
| 0.1225        | 16.0  | 4000 | 0.1755          | 0.9429   |
| 0.1225        | 17.0  | 4250 | 0.1743          | 0.9439   |
| 0.119         | 18.0  | 4500 | 0.1726          | 0.9459   |
| 0.119         | 19.0  | 4750 | 0.1723          | 0.9459   |
| 0.1145        | 20.0  | 5000 | 0.1735          | 0.9459   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0