File size: 2,732 Bytes
7522dcc 7c8c75d 7522dcc 7c8c75d 7522dcc 7c8c75d 7522dcc 7c8c75d 7522dcc |
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 |
---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task6_fold0
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. -->
# arabert_baseline_grammar_task6_fold0
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4892
- Qwk: 0.6051
- Mse: 0.4892
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| No log | 0.5 | 2 | 1.0890 | 0.2687 | 1.0890 |
| No log | 1.0 | 4 | 0.7915 | 0.3000 | 0.7915 |
| No log | 1.5 | 6 | 0.8650 | 0.3529 | 0.8650 |
| No log | 2.0 | 8 | 0.7927 | 0.3529 | 0.7927 |
| No log | 2.5 | 10 | 0.6821 | 0.2602 | 0.6821 |
| No log | 3.0 | 12 | 0.6081 | 0.4793 | 0.6081 |
| No log | 3.5 | 14 | 0.6266 | 0.5882 | 0.6266 |
| No log | 4.0 | 16 | 0.7668 | 0.5191 | 0.7668 |
| No log | 4.5 | 18 | 0.7382 | 0.6164 | 0.7382 |
| No log | 5.0 | 20 | 0.5722 | 0.7651 | 0.5722 |
| No log | 5.5 | 22 | 0.5444 | 0.6755 | 0.5444 |
| No log | 6.0 | 24 | 0.5298 | 0.6755 | 0.5298 |
| No log | 6.5 | 26 | 0.5351 | 0.7651 | 0.5351 |
| No log | 7.0 | 28 | 0.5998 | 0.6957 | 0.5998 |
| No log | 7.5 | 30 | 0.5874 | 0.6957 | 0.5874 |
| No log | 8.0 | 32 | 0.5369 | 0.6216 | 0.5369 |
| No log | 8.5 | 34 | 0.4961 | 0.6480 | 0.4961 |
| No log | 9.0 | 36 | 0.4879 | 0.6051 | 0.4879 |
| No log | 9.5 | 38 | 0.4895 | 0.6051 | 0.4895 |
| No log | 10.0 | 40 | 0.4892 | 0.6051 | 0.4892 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
|