gpt-neo-125m-finetuned-cummings-multiline
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: 4.3962
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 | 191 | 4.5170 |
| No log | 2.0 | 382 | 4.4383 |
| 4.4042 | 3.0 | 573 | 4.4100 |
| 4.4042 | 4.0 | 764 | 4.3972 |
| 4.4042 | 5.0 | 955 | 4.3934 |
| 4.0308 | 6.0 | 1146 | 4.3958 |
| 4.0308 | 7.0 | 1337 | 4.3962 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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