File size: 2,194 Bytes
bc2aa5c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
tags:
- generated_from_trainer
model-index:
- name: ks-chungcheong-nmt-v2
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. -->
# ks-chungcheong-nmt-v2
This model is a fine-tuned version of [smile3634/ks-chungcheong-nmt-v1](https://huggingface.co/smile3634/ks-chungcheong-nmt-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2771
## 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: 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: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8849 | 0.16 | 500 | 1.8573 |
| 1.7337 | 0.32 | 1000 | 1.6565 |
| 1.5085 | 0.49 | 1500 | 1.2008 |
| 1.1849 | 0.65 | 2000 | 0.8869 |
| 0.9535 | 0.81 | 2500 | 0.6806 |
| 0.8032 | 0.97 | 3000 | 0.5774 |
| 0.5472 | 1.13 | 3500 | 0.5094 |
| 0.4656 | 1.29 | 4000 | 0.4570 |
| 0.4269 | 1.46 | 4500 | 0.4286 |
| 0.3916 | 1.62 | 5000 | 0.4011 |
| 0.3564 | 1.78 | 5500 | 0.3676 |
| 0.3259 | 1.94 | 6000 | 0.3422 |
| 0.2513 | 2.1 | 6500 | 0.3312 |
| 0.2101 | 2.26 | 7000 | 0.3111 |
| 0.1991 | 2.43 | 7500 | 0.2985 |
| 0.1893 | 2.59 | 8000 | 0.2960 |
| 0.1774 | 2.75 | 8500 | 0.2823 |
| 0.1687 | 2.91 | 9000 | 0.2771 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
|