metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilroberta-base
model-index:
- name: distilroberta-base-uncased-distilled-emotion
results: []
distilroberta-base-uncased-distilled-emotion
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2657
- Accuracy: 0.9078
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.9248 | 1.0 | 187 | 0.3691 | 0.8683 |
| 0.3336 | 2.0 | 374 | 0.2765 | 0.8997 |
| 0.2417 | 3.0 | 561 | 0.2726 | 0.9064 |
| 0.1975 | 4.0 | 748 | 0.2569 | 0.9084 |
| 0.1701 | 5.0 | 935 | 0.2613 | 0.9091 |
| 0.1475 | 6.0 | 1122 | 0.2659 | 0.9118 |
| 0.1317 | 7.0 | 1309 | 0.2657 | 0.9078 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2