|
---
|
|
library_name: transformers
|
|
license: apache-2.0
|
|
base_model: distilbert-base-uncased
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- accuracy
|
|
- f1
|
|
model-index:
|
|
- name: distilbert-base-uncased-finetuned-emotion
|
|
results: []
|
|
---
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
should probably proofread and complete it, then remove this comment. -->
|
|
|
|
# distilbert-base-uncased-finetuned-emotion
|
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on an unknown dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.2151
|
|
- Accuracy: 0.9235
|
|
- F1: 0.9233
|
|
|
|
## 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: 64
|
|
- seed: 42
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
|
- lr_scheduler_type: linear
|
|
- num_epochs: 2
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
|
|
| 0.832 | 1.0 | 250 | 0.3075 | 0.9125 | 0.9115 |
|
|
| 0.2519 | 2.0 | 500 | 0.2151 | 0.9235 | 0.9233 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.47.1
|
|
- Pytorch 2.5.0+cu121
|
|
- Datasets 3.2.0
|
|
- Tokenizers 0.21.0
|
|
|
