|
--- |
|
license: apache-2.0 |
|
base_model: distilbert-base-cased |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: distil_final |
|
results: [] |
|
language: |
|
- ar |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# distil_final |
|
|
|
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: 3.5805 |
|
|
|
## 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: 0.0002 |
|
- train_batch_size: 10 |
|
- eval_batch_size: 10 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 40 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 5.0926 | 0.32 | 10 | 3.9348 | |
|
| 3.9237 | 0.64 | 20 | 4.0141 | |
|
| 3.8084 | 0.96 | 30 | 3.8194 | |
|
| 3.6561 | 1.28 | 40 | 3.6860 | |
|
| 3.4836 | 1.6 | 50 | 3.6023 | |
|
| 3.5731 | 1.92 | 60 | 3.5904 | |
|
| 3.497 | 2.24 | 70 | 3.6435 | |
|
| 3.34 | 2.56 | 80 | 3.5359 | |
|
| 3.2943 | 2.88 | 90 | 3.6003 | |
|
| 3.0902 | 3.2 | 100 | 3.6634 | |
|
| 3.1061 | 3.52 | 110 | 3.6059 | |
|
| 3.1395 | 3.84 | 120 | 3.5805 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
