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---
library_name: transformers
license: apache-2.0
base_model: beomi/kcbert-base
tags:
- Shin
- 10class
- multi_labels
- generated_from_trainer
model-index:
- name: model_output
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. -->
# model_output
This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1382
- Lrap: 0.8801
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Lrap |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 469 | 0.1342 | 0.8665 |
| 0.1913 | 2.0 | 938 | 0.1260 | 0.8703 |
| 0.1051 | 3.0 | 1407 | 0.1237 | 0.8843 |
| 0.0708 | 4.0 | 1876 | 0.1332 | 0.8799 |
| 0.0481 | 5.0 | 2345 | 0.1382 | 0.8801 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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