|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: summerschool-2layer-irony |
|
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. --> |
|
|
|
# summerschool-2layer-irony |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6777 |
|
- Accuracy: 0.5765 |
|
|
|
## 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:------:|:----:|:---------------:|:--------:| |
|
| 0.7183 | 0.2793 | 50 | 0.6864 | 0.5581 | |
|
| 0.6948 | 0.5587 | 100 | 0.7066 | 0.5068 | |
|
| 0.6915 | 0.8380 | 150 | 0.6904 | 0.5403 | |
|
| 0.686 | 1.1173 | 200 | 0.6764 | 0.5623 | |
|
| 0.6511 | 1.3966 | 250 | 0.6981 | 0.5623 | |
|
| 0.6752 | 1.6760 | 300 | 0.7057 | 0.5351 | |
|
| 0.661 | 1.9553 | 350 | 0.6755 | 0.5686 | |
|
| 0.6343 | 2.2346 | 400 | 0.6735 | 0.5874 | |
|
| 0.6507 | 2.5140 | 450 | 0.6700 | 0.5895 | |
|
| 0.6408 | 2.7933 | 500 | 0.6734 | 0.5738 | |
|
| 0.6337 | 3.0726 | 550 | 0.6697 | 0.5843 | |
|
| 0.6013 | 3.3520 | 600 | 0.6694 | 0.5927 | |
|
| 0.6139 | 3.6313 | 650 | 0.6667 | 0.6031 | |
|
| 0.6037 | 3.9106 | 700 | 0.6676 | 0.6168 | |
|
| 0.592 | 4.1899 | 750 | 0.6691 | 0.5832 | |
|
| 0.5791 | 4.4693 | 800 | 0.6707 | 0.5864 | |
|
| 0.5884 | 4.7486 | 850 | 0.6599 | 0.6042 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
