gpt-neo-125m-finetuned-cummings
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: 8.4804
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 109 | 8.0124 |
| No log | 2.0 | 218 | 8.1313 |
| No log | 3.0 | 327 | 8.2502 |
| No log | 4.0 | 436 | 8.3335 |
| 1.1381 | 5.0 | 545 | 8.4097 |
| 1.1381 | 6.0 | 654 | 8.4559 |
| 1.1381 | 7.0 | 763 | 8.4804 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Model tree for sgimmel/gpt-neo-125m-finetuned-cummings
Base model
EleutherAI/gpt-neo-125m