license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
base_model: distilroberta-base | |
model-index: | |
- name: distilroberta-base-uncased-distilled-emotion | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# distilroberta-base-uncased-distilled-emotion | |
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/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 | |