metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilroberta-base-mrl
results: []
distilroberta-base-mrl
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0170
- Accuracy: 0.9967
- F1: 0.9967
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: 2.1821851463909416e-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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 48 | 0.0265 | 0.9946 | 0.9946 |
| No log | 2.0 | 96 | 0.0180 | 0.9962 | 0.9962 |
| No log | 3.0 | 144 | 0.0163 | 0.9962 | 0.9962 |
| No log | 4.0 | 192 | 0.0194 | 0.9946 | 0.9946 |
| No log | 5.0 | 240 | 0.0193 | 0.9942 | 0.9942 |
| No log | 6.0 | 288 | 0.0172 | 0.9967 | 0.9967 |
| No log | 7.0 | 336 | 0.0206 | 0.9954 | 0.9954 |
| No log | 8.0 | 384 | 0.0183 | 0.9962 | 0.9962 |
| No log | 9.0 | 432 | 0.0170 | 0.9967 | 0.9967 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1