metadata
base_model: Tanor/SRGPTSENTNEG4
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: 0.1890
- F1: 0.3836
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 |
|---|---|---|---|---|
| 0.1142 | 1.0 | 2703 | 0.0752 | 0.0 |
| 0.1055 | 2.0 | 5406 | 0.1735 | 0.4463 |
| 0.0793 | 3.0 | 8109 | 0.1349 | 0.3529 |
| 0.0337 | 4.0 | 10812 | 0.1890 | 0.3836 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0.dev20230801
- Datasets 2.14.2
- Tokenizers 0.13.3