S1_InstructionGeneratorBeta
This model is a fine-tuned version of gjonesQ02/S1_InstructionGenerator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0812
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 230 | 0.0865 |
| No log | 2.0 | 460 | 0.0844 |
| 0.0981 | 3.0 | 690 | 0.0831 |
| 0.0981 | 4.0 | 920 | 0.0817 |
| 0.0918 | 5.0 | 1150 | 0.0814 |
| 0.0918 | 6.0 | 1380 | 0.0812 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for gjonesQ02/S1_InstructionGeneratorBeta
Base model
distilbert/distilgpt2
Finetuned
gjonesQ02/S1_InstructionGenerator