---
license: apache-2.0
base_model: judy93536/distilroberta-newsapi121k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilroberta-newsapi121k-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-newsapi121k-phrase5k

This model is a fine-tuned version of [judy93536/distilroberta-newsapi121k](https://huggingface.co/judy93536/distilroberta-newsapi121k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1442
- Accuracy: 0.9590

## 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: 4.545606711088675e-05
- train_batch_size: 32
- eval_batch_size: 8
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.1957          | 0.9429   |
| No log        | 2.0   | 250  | 0.1249          | 0.9540   |
| No log        | 3.0   | 375  | 0.1442          | 0.9590   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1