gpt-neo-2.7B-cs-finetuning-filtered-7
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4260
 
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 | 
|---|---|---|---|
| 2.5821 | 1.0 | 948 | 2.3921 | 
| 1.8935 | 2.0 | 1896 | 2.3477 | 
| 1.4596 | 3.0 | 2844 | 2.4260 | 
Framework versions
- Transformers 4.37.2
 - Pytorch 2.2.1
 - Datasets 2.12.0
 - Tokenizers 0.15.1
 
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Model tree for KimByeongSu/gpt-neo-2.7B-cs-finetuning-filtered-7
Base model
EleutherAI/gpt-neo-2.7B