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---
library_name: transformers
license: apache-2.0
base_model: skt/A.X-Encoder-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: aha_sentence_classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# aha_sentence_classification
This model is a fine-tuned version of [skt/A.X-Encoder-base](https://huggingface.co/skt/A.X-Encoder-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8454
- Accuracy: 0.6900
- F1 Micro: 0.6900
- F1 Macro: 0.6503
- Precision Macro: 0.6078
- Recall Macro: 0.7221
## 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: 64
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro | Precision Macro | Recall Macro |
|:-------------:|:------:|:-----:|:---------------:|:--------:|:--------:|:--------:|:---------------:|:------------:|
| 0.9702 | 0.5949 | 1000 | 1.1520 | 0.5590 | 0.5590 | 0.5444 | 0.5142 | 0.6791 |
| 0.7293 | 1.1898 | 2000 | 1.0469 | 0.5992 | 0.5992 | 0.5966 | 0.5599 | 0.7238 |
| 0.7779 | 1.7847 | 3000 | 0.9977 | 0.6278 | 0.6278 | 0.5964 | 0.5646 | 0.7274 |
| 0.5545 | 2.3795 | 4000 | 0.9847 | 0.6290 | 0.6290 | 0.6208 | 0.5849 | 0.7236 |
| 0.5692 | 2.9744 | 5000 | 0.8454 | 0.6900 | 0.6900 | 0.6503 | 0.6078 | 0.7221 |
| 0.3962 | 3.5693 | 6000 | 1.0074 | 0.6488 | 0.6488 | 0.6316 | 0.6093 | 0.7081 |
| 0.1624 | 4.1642 | 7000 | 1.1059 | 0.6732 | 0.6732 | 0.6533 | 0.6322 | 0.6930 |
| 0.1816 | 4.7591 | 8000 | 1.1277 | 0.6872 | 0.6872 | 0.6513 | 0.6429 | 0.6690 |
| 0.0934 | 5.3540 | 9000 | 1.4084 | 0.6882 | 0.6882 | 0.6468 | 0.6380 | 0.6649 |
| 0.0882 | 5.9488 | 10000 | 1.4941 | 0.6918 | 0.6918 | 0.6450 | 0.6428 | 0.6606 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.7.0+cu126
- Tokenizers 0.22.0
|