opt-125m-finetuned-answerpol-02
This model is a fine-tuned version of facebook/opt-125m on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.8526
- F1: 0.8780
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: 7e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 220 | 0.7962 | 0.8660 |
| 0.0329 | 2.0 | 440 | 0.8896 | 0.8669 |
| 0.0201 | 3.0 | 660 | 0.8526 | 0.8780 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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Dataset used to train GCopoulos/opt-125m-finetuned-answerpol-02
Evaluation results
- F1 on gluevalidation set self-reported0.878