|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: SRGPTSENTNEG4 |
|
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. --> |
|
|
|
# SRGPTSENTNEG4 |
|
|
|
This model is a fine-tuned version of [Tanor/SRGPTSENTNEG4](https://huggingface.co./Tanor/SRGPTSENTNEG4) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1827 |
|
- F1: 0.3902 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.0327 | 1.0 | 3010 | 0.1860 | 0.1429 | |
|
| 0.0897 | 2.0 | 6020 | 0.1548 | 0.4211 | |
|
| 0.0361 | 3.0 | 9030 | 0.1446 | 0.4390 | |
|
| 0.0251 | 4.0 | 12041 | 0.2221 | 0.3896 | |
|
| 0.0095 | 5.0 | 15051 | 0.1827 | 0.3902 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.2 |
|
- Pytorch 2.1.0.dev20230715 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|