metadata
license: mit
base_model: EleutherAI/gpt-neo-125m
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-125m-finetuned-cummings-multiline
results: []
gpt-neo-125m-finetuned-cummings-multiline
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4021
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 | 190 | 4.5136 |
| No log | 2.0 | 380 | 4.4400 |
| 4.4082 | 3.0 | 570 | 4.4135 |
| 4.4082 | 4.0 | 760 | 4.4025 |
| 4.4082 | 5.0 | 950 | 4.3998 |
| 4.0349 | 6.0 | 1140 | 4.4010 |
| 4.0349 | 7.0 | 1330 | 4.4021 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1