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gpt-m-multi-var
This model is a fine-tuned version of augustocsc/gpt-m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0023
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0053 | 0.55 | 500 | 0.0030 |
| 0.0034 | 1.1 | 1000 | 0.0029 |
| 0.0027 | 1.65 | 1500 | 0.0034 |
| 0.0027 | 2.2 | 2000 | 0.0026 |
| 0.0027 | 2.75 | 2500 | 0.0024 |
| 0.0027 | 3.3 | 3000 | 0.0024 |
| 0.0026 | 3.85 | 3500 | 0.0023 |
| 0.0024 | 4.4 | 4000 | 0.0024 |
| 0.0024 | 4.95 | 4500 | 0.0023 |
| 0.0025 | 5.5 | 5000 | 0.0023 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
