metadata
license: mit
tags:
- generated_from_trainer
base_model: EleutherAI/gpt-neo-2.7B
model-index:
- name: gpt-neo-2.7B-cs-finetuning-filtered-7
results: []
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