File size: 2,757 Bytes
0f66e7d 4b0a4b6 0f66e7d 4b0a4b6 0f66e7d 4b0a4b6 0f66e7d 4b0a4b6 0f66e7d 4b0a4b6 0f66e7d 4b0a4b6 |
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 75 76 77 78 79 80 81 82 83 84 85 86 |
---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-vietnamese-case
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. -->
# distilbert-base-vietnamese-case
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1978
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.6995 | 1.0 | 313 | 5.7838 |
| 5.7246 | 2.0 | 626 | 5.5341 |
| 5.4565 | 3.0 | 939 | 5.3280 |
| 5.271 | 4.0 | 1252 | 5.1409 |
| 5.0514 | 5.0 | 1565 | 4.9143 |
| 4.874 | 6.0 | 1878 | 4.7130 |
| 4.7083 | 7.0 | 2191 | 4.5682 |
| 4.5677 | 8.0 | 2504 | 4.3724 |
| 4.4244 | 9.0 | 2817 | 4.3262 |
| 4.3013 | 10.0 | 3130 | 4.1231 |
| 4.2077 | 11.0 | 3443 | 4.1388 |
| 4.1103 | 12.0 | 3756 | 3.8696 |
| 4.0141 | 13.0 | 4069 | 3.8849 |
| 3.9435 | 14.0 | 4382 | 3.7311 |
| 3.8604 | 15.0 | 4695 | 3.7155 |
| 3.804 | 16.0 | 5008 | 3.6445 |
| 3.7076 | 17.0 | 5321 | 3.5784 |
| 3.6807 | 18.0 | 5634 | 3.5516 |
| 3.6239 | 19.0 | 5947 | 3.4008 |
| 3.5729 | 20.0 | 6260 | 3.4827 |
| 3.5308 | 21.0 | 6573 | 3.3921 |
| 3.4707 | 22.0 | 6886 | 3.3729 |
| 3.4341 | 23.0 | 7199 | 3.3543 |
| 3.3989 | 24.0 | 7512 | 3.2836 |
| 3.3505 | 25.0 | 7825 | 3.3003 |
| 3.3256 | 26.0 | 8138 | 3.1750 |
| 3.2892 | 27.0 | 8451 | 3.1930 |
| 3.2614 | 28.0 | 8764 | 3.2089 |
| 3.2387 | 29.0 | 9077 | 3.1978 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
|