update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- generated_from_trainer
|
| 4 |
+
model-index:
|
| 5 |
+
- name: BertjeWDialDataALLQonly07
|
| 6 |
+
results: []
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 10 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 11 |
+
|
| 12 |
+
# BertjeWDialDataALLQonly07
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on the None dataset.
|
| 15 |
+
It achieves the following results on the evaluation set:
|
| 16 |
+
- Loss: 2.1135
|
| 17 |
+
|
| 18 |
+
## Model description
|
| 19 |
+
|
| 20 |
+
More information needed
|
| 21 |
+
|
| 22 |
+
## Intended uses & limitations
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Training and evaluation data
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training procedure
|
| 31 |
+
|
| 32 |
+
### Training hyperparameters
|
| 33 |
+
|
| 34 |
+
The following hyperparameters were used during training:
|
| 35 |
+
- learning_rate: 0.0001
|
| 36 |
+
- train_batch_size: 16
|
| 37 |
+
- eval_batch_size: 8
|
| 38 |
+
- seed: 42
|
| 39 |
+
- gradient_accumulation_steps: 4
|
| 40 |
+
- total_train_batch_size: 64
|
| 41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 42 |
+
- lr_scheduler_type: linear
|
| 43 |
+
- num_epochs: 18.0
|
| 44 |
+
|
| 45 |
+
### Training results
|
| 46 |
+
|
| 47 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 48 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 49 |
+
| 2.3589 | 1.0 | 871 | 2.2805 |
|
| 50 |
+
| 2.2563 | 2.0 | 1742 | 2.2501 |
|
| 51 |
+
| 2.1936 | 3.0 | 2613 | 2.2419 |
|
| 52 |
+
| 2.11 | 4.0 | 3484 | 2.2301 |
|
| 53 |
+
| 2.0311 | 5.0 | 4355 | 2.2320 |
|
| 54 |
+
| 1.969 | 6.0 | 5226 | 2.2276 |
|
| 55 |
+
| 1.9148 | 7.0 | 6097 | 2.1621 |
|
| 56 |
+
| 1.8569 | 8.0 | 6968 | 2.1876 |
|
| 57 |
+
| 1.7978 | 9.0 | 7839 | 2.2011 |
|
| 58 |
+
| 1.7602 | 10.0 | 8710 | 2.1280 |
|
| 59 |
+
| 1.7166 | 11.0 | 9581 | 2.1644 |
|
| 60 |
+
| 1.6651 | 12.0 | 10452 | 2.1246 |
|
| 61 |
+
| 1.6141 | 13.0 | 11323 | 2.1264 |
|
| 62 |
+
| 1.5759 | 14.0 | 12194 | 2.1143 |
|
| 63 |
+
| 1.5478 | 15.0 | 13065 | 2.0982 |
|
| 64 |
+
| 1.5311 | 16.0 | 13936 | 2.0993 |
|
| 65 |
+
| 1.5187 | 17.0 | 14807 | 2.0979 |
|
| 66 |
+
| 1.4809 | 18.0 | 15678 | 2.0338 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Framework versions
|
| 70 |
+
|
| 71 |
+
- Transformers 4.13.0.dev0
|
| 72 |
+
- Pytorch 1.10.0
|
| 73 |
+
- Datasets 1.16.1
|
| 74 |
+
- Tokenizers 0.10.3
|