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# gpt-neo-125m-finetuned-cummings-multiline

This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/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

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-finetuned-cummings-multiline", "results": []}]}
transformers tensorboard safetensors gpt_neo text-generation generated_from_trainer base_model:EleutherAI/gpt-neo-125m license:mit autotrain_compatible endpoints_compatible region:us