metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilroberta-base-etc
results: []
distilroberta-base-etc
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5308
- Accuracy: 0.7764
- F1: 0.7744
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: 1.786634543080922e-05
- train_batch_size: 400
- eval_batch_size: 400
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 46 | 0.6594 | 0.6699 | 0.6581 |
| No log | 2.0 | 92 | 0.5253 | 0.7575 | 0.7574 |
| No log | 3.0 | 138 | 0.5651 | 0.7394 | 0.7338 |
| No log | 4.0 | 184 | 0.4815 | 0.7862 | 0.7860 |
| No log | 5.0 | 230 | 0.5280 | 0.7734 | 0.7721 |
| No log | 6.0 | 276 | 0.5066 | 0.7786 | 0.7776 |
| No log | 7.0 | 322 | 0.5308 | 0.7764 | 0.7744 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1