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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-neo-2.7B-cs-finetuning-7-60000
This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/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
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