metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTNEG4
results: []
SRGPTSENTNEG4
This model is a fine-tuned version of 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