metadata
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
base_model: bert-base-cased
datasets:
- emotion
pipeline_tag: text-classification
model-index:
- name: bert-finetuned-emotion
results: []
bert-finetuned-emotion
This model is a fine-tuned version of bert-base-cased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1656
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2653 | 1.0 | 2000 | 0.2193 |
| 0.1552 | 2.0 | 4000 | 0.1690 |
| 0.1028 | 3.0 | 6000 | 0.1656 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1