finetuned_model
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: -239.5964
- Accuracy: 1.0
- F1: 0.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| -196.3999 | 1.0 | 567 | -152.9008 | 1.0 | 0.0 |
| -279.7968 | 2.0 | 1134 | -223.2503 | 1.0 | 0.0 |
| -333.9919 | 3.0 | 1701 | -239.5964 | 1.0 | 0.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for swaraj150/finetuned_model
Base model
distilbert/distilbert-base-uncased