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---
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
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