| --- |
| license: apache-2.0 |
| base_model: Tanor/SRGPTSENTPOS2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: SRGPTSENTPOS2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # SRGPTSENTPOS2 |
|
|
| This model is a fine-tuned version of [Tanor/SRGPTSENTPOS2](https://huggingface.co/Tanor/SRGPTSENTPOS2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1934 |
| - F1: 0.3437 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | 0.0896 | 1.0 | 2697 | 0.1886 | 0.3836 | |
| | 0.0767 | 2.0 | 5394 | 0.1254 | 0.3492 | |
| | 0.0598 | 3.0 | 8091 | 0.1355 | 0.3934 | |
| | 0.0155 | 4.0 | 10788 | 0.1635 | 0.3750 | |
| | 0.016 | 5.0 | 13485 | 0.1934 | 0.3437 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0 |
| - Pytorch 2.1.0.dev20230801 |
| - Datasets 2.14.2 |
| - Tokenizers 0.13.3 |
| |
