metadata
license: apache-2.0
base_model: EleutherAI/polyglot-ko-1.3b
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reward-gpt-b6
results: []
reward-gpt-b6
This model is a fine-tuned version of EleutherAI/polyglot-ko-1.3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1224
- Accuracy: 0.0
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: 9e-06
- train_batch_size: 6
- eval_batch_size: 6
- seed: 2023
- gradient_accumulation_steps: 5
- total_train_batch_size: 30
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.124 | 0.07 | 500 | 0.1345 | 0.0 |
| 0.1732 | 0.14 | 1000 | 0.1297 | 0.0 |
| 0.1023 | 0.21 | 1500 | 0.1116 | 0.0 |
| 0.0386 | 0.29 | 2000 | 0.1426 | 0.0 |
| 0.0716 | 0.36 | 2500 | 0.1119 | 0.0 |
| 0.0655 | 0.43 | 3000 | 0.1272 | 0.0 |
| 0.0725 | 0.5 | 3500 | 0.0958 | 0.0 |
| 0.0759 | 0.57 | 4000 | 0.0975 | 0.0 |
| 0.061 | 0.64 | 4500 | 0.1277 | 0.0 |
| 0.0804 | 0.71 | 5000 | 0.1055 | 0.0 |
| 0.0886 | 0.78 | 5500 | 0.1099 | 0.0 |
| 0.0591 | 0.86 | 6000 | 0.1273 | 0.0 |
| 0.0424 | 0.93 | 6500 | 0.1212 | 0.0 |
| 0.122 | 1.0 | 7000 | 0.1224 | 0.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1