level_c_low_sentiment_vader_4
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.7505
accuracy
: 0.6995
f1
: 0.6365
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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
accuracy
|
f1
| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 122 | 0.8223 | 0.6854 | 0.6247 | | No log | 2.0 | 244 | 0.7744 | 0.6808 | 0.6193 | | No log | 3.0 | 366 | 0.7505 | 0.6995 | 0.6365 | | No log | 4.0 | 488 | 0.7681 | 0.6808 | 0.6165 | | 0.6954 | 5.0 | 610 | 0.7585 | 0.6995 | 0.6355 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for iTroned/level_c_low_sentiment_vader_4
Base model
distilbert/distilbert-base-uncased