metadata
license: mit
tags:
- generated_from_trainer
base_model: EleutherAI/gpt-neo-125m
model-index:
- name: gpt-neo-125m-finetuned-philosopher_rave_20
results: []
gpt-neo-125m-finetuned-philosopher_rave_20
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7097
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
20 epochs
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-07
- 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: 20.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 155 | 2.8834 |
| No log | 2.0 | 310 | 2.8606 |
| No log | 3.0 | 465 | 2.8407 |
| 2.8695 | 4.0 | 620 | 2.8228 |
| 2.8695 | 5.0 | 775 | 2.8063 |
| 2.8695 | 6.0 | 930 | 2.7911 |
| 2.8122 | 7.0 | 1085 | 2.7772 |
| 2.8122 | 8.0 | 1240 | 2.7650 |
| 2.8122 | 9.0 | 1395 | 2.7544 |
| 2.7613 | 10.0 | 1550 | 2.7454 |
| 2.7613 | 11.0 | 1705 | 2.7378 |
| 2.7613 | 12.0 | 1860 | 2.7313 |
| 2.7397 | 13.0 | 2015 | 2.7258 |
| 2.7397 | 14.0 | 2170 | 2.7211 |
| 2.7397 | 15.0 | 2325 | 2.7173 |
| 2.7397 | 16.0 | 2480 | 2.7143 |
| 2.7214 | 17.0 | 2635 | 2.7121 |
| 2.7214 | 18.0 | 2790 | 2.7106 |
| 2.7214 | 19.0 | 2945 | 2.7098 |
| 2.7104 | 20.0 | 3100 | 2.7097 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2