level_c_low_sentiment_vader_0
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: 0.7424
accuracy
: 0.6948
f1
: 0.6303
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 | 0.8180 | 0.6620 | 0.5999 | | No log | 2.0 | 244 | 0.7692 | 0.6714 | 0.6077 | | No log | 3.0 | 366 | 0.7424 | 0.6948 | 0.6303 | | No log | 4.0 | 488 | 0.7544 | 0.6901 | 0.6257 | | 0.6769 | 5.0 | 610 | 0.7469 | 0.7042 | 0.6467 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for iTroned/level_c_low_sentiment_vader_0
Base model
distilbert/distilbert-base-uncased