|
|
--- |
|
|
base_model: Tanor/SRGPTSENTPOS0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- f1 |
|
|
model-index: |
|
|
- name: SRGPTSENTPOS0 |
|
|
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. --> |
|
|
|
|
|
# SRGPTSENTPOS0 |
|
|
|
|
|
This model is a fine-tuned version of [Tanor/SRGPTSENTPOS0](https://huggingface.co/Tanor/SRGPTSENTPOS0) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.1306 |
|
|
- F1: 0.0769 |
|
|
|
|
|
## 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: 1 |
|
|
- eval_batch_size: 1 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 4 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 32 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
|
| 0.0315 | 1.0 | 2666 | 0.1201 | 0.3667 | |
|
|
| 0.0279 | 2.0 | 5332 | 0.1005 | 0.2564 | |
|
|
| 0.0169 | 3.0 | 7998 | 0.1145 | 0.2424 | |
|
|
| 0.0131 | 4.0 | 10665 | 0.1275 | 0.1935 | |
|
|
| 0.011 | 5.0 | 13331 | 0.1306 | 0.0769 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.31.0 |
|
|
- Pytorch 2.1.0.dev20230801 |
|
|
- Datasets 2.14.2 |
|
|
- Tokenizers 0.13.3 |
|
|
|