neo-125m-fine-same
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1882
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.3964 | 1.0 | 669 | 3.2589 |
3.1918 | 2.0 | 1338 | 3.2019 |
3.0415 | 3.0 | 2007 | 3.1882 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.13.2
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Model tree for KimByeongSu/neo-125m-fine-same
Base model
EleutherAI/gpt-neo-125m