metadata
license: apache-2.0
base_model: Tanor/SRGPTSENTPOS2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTPOS2
results: []
SRGPTSENTPOS2
This model is a fine-tuned version of Tanor/SRGPTSENTPOS2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2156
- F1: 0.3729
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 |
|---|---|---|---|---|
| 0.0314 | 1.0 | 2697 | 0.1674 | 0.5111 |
| 0.0236 | 2.0 | 5394 | 0.1687 | 0.4308 |
| 0.0407 | 3.0 | 8091 | 0.1571 | 0.4 |
| 0.0086 | 4.0 | 10788 | 0.3466 | 0.3437 |
| 0.007 | 5.0 | 13485 | 0.1982 | 0.3750 |
| 0.0091 | 6.0 | 16182 | 0.2023 | 0.3492 |
| 0.0071 | 7.0 | 18879 | 0.2477 | 0.3678 |
| 0.0075 | 8.0 | 21576 | 0.1556 | 0.3750 |
| 0.0089 | 9.0 | 24273 | 0.2156 | 0.3729 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0.dev20230801
- Datasets 2.14.2
- Tokenizers 0.13.3