metadata
library_name: transformers
license: apache-2.0
base_model: DotCheck/finetuned_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_model
results: []
finetuned_model
This model is a fine-tuned version of DotCheck/finetuned_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0103
- Accuracy: 0.9969
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 |
|---|---|---|---|---|
| No log | 1.0 | 282 | 0.0147 | 0.9946 |
| 0.0887 | 2.0 | 564 | 0.0100 | 0.9967 |
| 0.0887 | 3.0 | 846 | 0.0103 | 0.9969 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4