|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
base_model: EleutherAI/gpt-neo-125m |
|
model-index: |
|
- name: gpt-neo-125m-finetuned-philosopher_rave_20 |
|
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-125m-finetuned-philosopher_rave_20 |
|
|
|
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/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 |
|
|
