metadata
base_model: Tanor/SRGPTSENTPOS6
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTPOS6
results: []
SRGPTSENTPOS6
This model is a fine-tuned version of Tanor/SRGPTSENTPOS6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3376
- F1: 0.1538
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 |
|---|---|---|---|---|
| 0.0145 | 1.0 | 2706 | 0.4809 | 0.2526 |
| 0.0052 | 2.0 | 5412 | 0.3511 | 0.1562 |
| 0.0136 | 3.0 | 8118 | 0.3620 | 0.2222 |
| 0.0028 | 4.0 | 10824 | 0.3376 | 0.1538 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0.dev20230801
- Datasets 2.14.2
- Tokenizers 0.13.3