distilbert-base-uncased-finetuned-emotion-5
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2612
- Accuracy: 0.9365
- F1: 0.9365
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.0516 | 1.0 | 250 | 0.2312 | 0.9335 | 0.9342 |
0.0268 | 2.0 | 500 | 0.2665 | 0.937 | 0.9368 |
0.0235 | 3.0 | 750 | 0.2676 | 0.9385 | 0.9382 |
0.0154 | 4.0 | 1000 | 0.2559 | 0.939 | 0.9388 |
0.0098 | 5.0 | 1250 | 0.2612 | 0.9365 | 0.9365 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Downloads last month
- 3
Inference API (serverless) is not available, repository is disabled.
Model tree for adlv/distilbert-base-uncased-finetuned-emotion-5
Base model
distilbert/distilbert-base-uncased
Finetuned
this model