update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
model-index:
|
| 6 |
+
- name: mlm-20230416-003-1
|
| 7 |
+
results: []
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
+
|
| 13 |
+
# mlm-20230416-003-1
|
| 14 |
+
|
| 15 |
+
This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 2.3201
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 2e-05
|
| 37 |
+
- train_batch_size: 8
|
| 38 |
+
- eval_batch_size: 8
|
| 39 |
+
- seed: 42
|
| 40 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 41 |
+
- lr_scheduler_type: linear
|
| 42 |
+
- num_epochs: 20
|
| 43 |
+
|
| 44 |
+
### Training results
|
| 45 |
+
|
| 46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 48 |
+
| No log | 1.0 | 330 | 4.2545 |
|
| 49 |
+
| 5.0912 | 2.0 | 660 | 3.6314 |
|
| 50 |
+
| 5.0912 | 3.0 | 990 | 3.2435 |
|
| 51 |
+
| 3.7016 | 4.0 | 1320 | 3.0558 |
|
| 52 |
+
| 3.22 | 5.0 | 1650 | 2.9062 |
|
| 53 |
+
| 3.22 | 6.0 | 1980 | 2.8126 |
|
| 54 |
+
| 2.946 | 7.0 | 2310 | 2.6621 |
|
| 55 |
+
| 2.7682 | 8.0 | 2640 | 2.5513 |
|
| 56 |
+
| 2.7682 | 9.0 | 2970 | 2.5651 |
|
| 57 |
+
| 2.624 | 10.0 | 3300 | 2.5347 |
|
| 58 |
+
| 2.5466 | 11.0 | 3630 | 2.4664 |
|
| 59 |
+
| 2.5466 | 12.0 | 3960 | 2.4375 |
|
| 60 |
+
| 2.4496 | 13.0 | 4290 | 2.4663 |
|
| 61 |
+
| 2.395 | 14.0 | 4620 | 2.3948 |
|
| 62 |
+
| 2.395 | 15.0 | 4950 | 2.4003 |
|
| 63 |
+
| 2.3377 | 16.0 | 5280 | 2.3072 |
|
| 64 |
+
| 2.2881 | 17.0 | 5610 | 2.3502 |
|
| 65 |
+
| 2.2881 | 18.0 | 5940 | 2.3236 |
|
| 66 |
+
| 2.2659 | 19.0 | 6270 | 2.3138 |
|
| 67 |
+
| 2.2419 | 20.0 | 6600 | 2.3359 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.28.1
|
| 73 |
+
- Pytorch 2.0.0+cu118
|
| 74 |
+
- Datasets 2.11.0
|
| 75 |
+
- Tokenizers 0.13.3
|