metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: fine_tuned_model
results: []
fine_tuned_model
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1677
- Accuracy: 1.0
- F1: 1.0
- Pair Accuracy: 1.0
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Pair Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 8 | 0.1677 | 1.0 | 1.0 | 1.0 |
| No log | 2.0 | 16 | 0.2262 | 1.0 | 1.0 | 1.0 |
| No log | 3.0 | 24 | 0.1528 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 5.7.0
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1