metadata
license: apache-2.0
base_model: judy93536/distilroberta-base-ep20
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilroberta-base-ep20-phrase5k
results: []
distilroberta-base-ep20-phrase5k
This model is a fine-tuned version of judy93536/distilroberta-base-ep20 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1361
- Accuracy: 0.9540
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: 1.123335054745316e-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: 13
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 250 | 1.0595 | 0.6046 |
| 1.0445 | 2.0 | 500 | 0.8412 | 0.6136 |
| 1.0445 | 3.0 | 750 | 0.6597 | 0.7197 |
| 0.6876 | 4.0 | 1000 | 0.5043 | 0.7768 |
| 0.6876 | 5.0 | 1250 | 0.3559 | 0.8709 |
| 0.3881 | 6.0 | 1500 | 0.2273 | 0.9289 |
| 0.3881 | 7.0 | 1750 | 0.1852 | 0.9369 |
| 0.1977 | 8.0 | 2000 | 0.1567 | 0.9449 |
| 0.1977 | 9.0 | 2250 | 0.1396 | 0.9510 |
| 0.1436 | 10.0 | 2500 | 0.1493 | 0.9489 |
| 0.1436 | 11.0 | 2750 | 0.1397 | 0.9499 |
| 0.123 | 12.0 | 3000 | 0.1334 | 0.9530 |
| 0.123 | 13.0 | 3250 | 0.1361 | 0.9540 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0