metadata
base_model: Tanor/SRGPTSENTPOS0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTPOS0
results: []
SRGPTSENTPOS0
This model is a fine-tuned version of 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