|
--- |
|
license: apache-2.0 |
|
base_model: morten-j/Mehdie_Extended-mBERT |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
- precision |
|
- recall |
|
model-index: |
|
- name: fine_tuned_emBERT |
|
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. --> |
|
|
|
# fine_tuned_emBERT |
|
|
|
This model is a fine-tuned version of [morten-j/Mehdie_Extended-mBERT](https://huggingface.co/morten-j/Mehdie_Extended-mBERT) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2085 |
|
- F1: 0.6316 |
|
- F5: 0.6072 |
|
- Precision: 0.7059 |
|
- Recall: 0.5714 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.2 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | F5 | Precision | Recall | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------:| |
|
| No log | 1.0 | 38 | 0.2641 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 2.0 | 76 | 0.2444 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 3.0 | 114 | 0.2411 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 4.0 | 152 | 0.2419 | 0.0 | 0.0 | 0.0 | 0.0 | |
|
| No log | 5.0 | 190 | 0.1799 | 0.4375 | 0.3994 | 0.5833 | 0.35 | |
|
| No log | 6.0 | 228 | 0.2493 | 0.4444 | 0.4641 | 0.4 | 0.5 | |
|
| No log | 7.0 | 266 | 0.2708 | 0.4444 | 0.4641 | 0.4 | 0.5 | |
|
| No log | 8.0 | 304 | 0.2356 | 0.5517 | 0.4819 | 0.8889 | 0.4 | |
|
| No log | 9.0 | 342 | 0.2139 | 0.5333 | 0.4731 | 0.8 | 0.4 | |
|
| No log | 10.0 | 380 | 0.2477 | 0.4444 | 0.3754 | 0.8571 | 0.3 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.15.2 |
|
|
