metadata
library_name: transformers
license: apache-2.0
base_model: skt/A.X-Encoder-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: hello_classification
results: []
hello_classification
This model is a fine-tuned version of skt/A.X-Encoder-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0077
- Precision: 1.0
- Recall: 0.9919
- F1: 0.9959
- Accuracy: 0.9983
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: 2e-05
- train_batch_size: 128
- eval_batch_size: 64
- 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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 73 | 0.0225 | 0.9770 | 0.9860 | 0.9815 | 0.9931 |
| No log | 2.0 | 146 | 0.0194 | 0.9858 | 0.9721 | 0.9789 | 0.9923 |
| No log | 3.0 | 219 | 0.0147 | 0.9907 | 0.9860 | 0.9883 | 0.9957 |
| No log | 4.0 | 292 | 0.0182 | 0.9907 | 0.9907 | 0.9907 | 0.9966 |
| No log | 5.0 | 365 | 0.0144 | 0.9907 | 0.9860 | 0.9883 | 0.9957 |
| No log | 6.0 | 438 | 0.0139 | 0.9907 | 0.9860 | 0.9883 | 0.9957 |
| 0.0144 | 7.0 | 511 | 0.0207 | 0.9907 | 0.9860 | 0.9883 | 0.9957 |
| 0.0144 | 8.0 | 584 | 0.0183 | 0.9906 | 0.9814 | 0.9860 | 0.9948 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.7.0+cu126
- Tokenizers 0.21.2