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base_model: alsgyu/sentiment-analysis-fine-tuned-model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: kcbert-interview-sentiment-ex1
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. -->
# kcbert-interview-sentiment-ex1
This model is a fine-tuned version of [alsgyu/sentiment-analysis-fine-tuned-model](https://huggingface.co/alsgyu/sentiment-analysis-fine-tuned-model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8484
- Accuracy: 0.8331
- Macro F1: 0.7797
- Weighted F1: 0.8382
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.2373 | 1.0 | 999 | 0.6532 | 0.8247 | 0.7701 | 0.8299 |
| 0.1028 | 2.0 | 1998 | 0.7480 | 0.8347 | 0.7729 | 0.8391 |
| 0.045 | 3.0 | 2997 | 0.8484 | 0.8331 | 0.7797 | 0.8382 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.8.0+cu128
- Datasets 2.19.0
- Tokenizers 0.19.1
|