---
license: apache-2.0
base_model: judy93536/distilroberta-rbm231k-ep20-op40
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
metrics:
- accuracy
model-index:
- name: distilroberta-rbm231k-ep20-op40-all-agree_2p2k
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: financial_phrasebank
      type: financial_phrasebank
      config: sentences_allagree
      split: train
      args: sentences_allagree
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9602649006622517
---

<!-- 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-all-agree_2p2k

This model is a fine-tuned version of [judy93536/distilroberta-rbm231k-ep20-op40](https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40) on the financial_phrasebank dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1320
- Accuracy: 0.9603

## 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: 1.253335054745316e-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: 0.4
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 114  | 1.0789          | 0.4327   |
| No log        | 2.0   | 228  | 1.0442          | 0.6115   |
| No log        | 3.0   | 342  | 0.9709          | 0.6137   |
| No log        | 4.0   | 456  | 0.8693          | 0.6115   |
| 1.0223        | 5.0   | 570  | 0.8346          | 0.6115   |
| 1.0223        | 6.0   | 684  | 0.7876          | 0.6115   |
| 1.0223        | 7.0   | 798  | 0.7355          | 0.6203   |
| 1.0223        | 8.0   | 912  | 0.6974          | 0.6733   |
| 0.7904        | 9.0   | 1026 | 0.6535          | 0.7219   |
| 0.7904        | 10.0  | 1140 | 0.6045          | 0.7550   |
| 0.7904        | 11.0  | 1254 | 0.5653          | 0.7770   |
| 0.7904        | 12.0  | 1368 | 0.5122          | 0.7859   |
| 0.7904        | 13.0  | 1482 | 0.4652          | 0.7881   |
| 0.5806        | 14.0  | 1596 | 0.4319          | 0.7991   |
| 0.5806        | 15.0  | 1710 | 0.3951          | 0.8057   |
| 0.5806        | 16.0  | 1824 | 0.3557          | 0.8168   |
| 0.5806        | 17.0  | 1938 | 0.3174          | 0.8565   |
| 0.3751        | 18.0  | 2052 | 0.2652          | 0.9007   |
| 0.3751        | 19.0  | 2166 | 0.2188          | 0.9404   |
| 0.3751        | 20.0  | 2280 | 0.1797          | 0.9470   |
| 0.3751        | 21.0  | 2394 | 0.1822          | 0.9492   |
| 0.1873        | 22.0  | 2508 | 0.1523          | 0.9514   |
| 0.1873        | 23.0  | 2622 | 0.1425          | 0.9581   |
| 0.1873        | 24.0  | 2736 | 0.1394          | 0.9581   |
| 0.1873        | 25.0  | 2850 | 0.1396          | 0.9603   |
| 0.1873        | 26.0  | 2964 | 0.1345          | 0.9603   |
| 0.1072        | 27.0  | 3078 | 0.1334          | 0.9603   |
| 0.1072        | 28.0  | 3192 | 0.1322          | 0.9603   |
| 0.1072        | 29.0  | 3306 | 0.1316          | 0.9603   |
| 0.1072        | 30.0  | 3420 | 0.1320          | 0.9603   |


### Framework versions

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