File size: 1,870 Bytes
463692d |
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 |
---
tags:
- generated_from_trainer
model-index:
- name: NEW_OCR_10_8wangchanberta-base-att-spm-uncased
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. -->
# NEW_OCR_10_8wangchanberta-base-att-spm-uncased
This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0147
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.108 | 1.0 | 10701 | 0.0167 |
| 0.0161 | 2.0 | 21402 | 0.0140 |
| 0.0126 | 3.0 | 32103 | 0.0130 |
| 0.0105 | 4.0 | 42804 | 0.0125 |
| 0.009 | 5.0 | 53505 | 0.0135 |
| 0.008 | 6.0 | 64206 | 0.0137 |
| 0.0074 | 7.0 | 74907 | 0.0139 |
| 0.0064 | 8.0 | 85608 | 0.0143 |
| 0.0058 | 9.0 | 96309 | 0.0147 |
| 0.0054 | 10.0 | 107010 | 0.0147 |
### Framework versions
- Transformers 4.15.0
- Pytorch 1.12.1+cu113
- Datasets 1.17.0
- Tokenizers 0.10.3
|