---
library_name: transformers
license: apache-2.0
base_model: uitnlp/CafeBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CafeBERT_nli
  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. -->

# CafeBERT_nli

This model is a fine-tuned version of [uitnlp/CafeBERT](https://huggingface.co/uitnlp/CafeBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2989
- Accuracy: 0.8306
- Precision Macro: 0.8307
- Recall Macro: 0.8308
- F1 Macro: 0.8306
- F1 Weighted: 0.8306

## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Use 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1 Macro | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:-----------:|
| 1.0641        | 1.0   | 72   | 0.6313          | 0.7565   | 0.7672          | 0.7575       | 0.7562   | 0.7561      |
| 0.64          | 2.0   | 144  | 0.5313          | 0.8044   | 0.8077          | 0.8042       | 0.8039   | 0.8040      |
| 0.3679        | 3.0   | 216  | 0.5117          | 0.8062   | 0.8078          | 0.8067       | 0.8060   | 0.8059      |
| 0.2855        | 4.0   | 288  | 0.5816          | 0.8098   | 0.8150          | 0.8101       | 0.8087   | 0.8087      |
| 0.1571        | 5.0   | 360  | 0.6372          | 0.8058   | 0.8060          | 0.8058       | 0.8058   | 0.8059      |
| 0.1165        | 6.0   | 432  | 0.6929          | 0.8177   | 0.8186          | 0.8177       | 0.8178   | 0.8178      |
| 0.0855        | 7.0   | 504  | 0.7374          | 0.8084   | 0.8090          | 0.8087       | 0.8084   | 0.8084      |
| 0.0704        | 8.0   | 576  | 0.8241          | 0.8075   | 0.8107          | 0.8071       | 0.8075   | 0.8075      |
| 0.0593        | 9.0   | 648  | 0.9712          | 0.8098   | 0.8108          | 0.8094       | 0.8095   | 0.8096      |
| 0.0415        | 10.0  | 720  | 0.8643          | 0.8155   | 0.8165          | 0.8153       | 0.8155   | 0.8155      |
| 0.034         | 11.0  | 792  | 0.9662          | 0.8124   | 0.8149          | 0.8120       | 0.8123   | 0.8123      |
| 0.0273        | 12.0  | 864  | 1.0114          | 0.8182   | 0.8188          | 0.8181       | 0.8182   | 0.8182      |
| 0.0189        | 13.0  | 936  | 1.2237          | 0.8155   | 0.8195          | 0.8159       | 0.8156   | 0.8155      |
| 0.0068        | 14.0  | 1008 | 1.2312          | 0.8244   | 0.8265          | 0.8247       | 0.8244   | 0.8244      |
| 0.011         | 15.0  | 1080 | 1.2062          | 0.8315   | 0.8316          | 0.8316       | 0.8314   | 0.8314      |
| 0.003         | 16.0  | 1152 | 1.2550          | 0.8279   | 0.8280          | 0.8280       | 0.8280   | 0.8279      |
| 0.0024        | 17.0  | 1224 | 1.2774          | 0.8302   | 0.8303          | 0.8303       | 0.8302   | 0.8302      |
| 0.003         | 18.0  | 1296 | 1.2946          | 0.8293   | 0.8295          | 0.8295       | 0.8292   | 0.8292      |
| 0.0023        | 19.0  | 1368 | 1.2969          | 0.8306   | 0.8307          | 0.8308       | 0.8306   | 0.8306      |
| 0.0012        | 20.0  | 1440 | 1.2989          | 0.8306   | 0.8307          | 0.8308       | 0.8306   | 0.8306      |


### Framework versions

- Transformers 4.55.0
- Pytorch 2.7.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4