metadata
license: mit
base_model: EleutherAI/gpt-neo-2.7B
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-2.7B-cs-finetuning-7-60000
results: []
gpt-neo-2.7B-cs-finetuning-7-60000
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: 2.4477
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 |
|---|---|---|---|
| 2.5787 | 1.0 | 765 | 2.4157 |
| 1.8828 | 2.0 | 1530 | 2.3721 |
| 1.4804 | 3.0 | 2295 | 2.4477 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1
- Datasets 2.12.0
- Tokenizers 0.15.1