tags: | |
- generated_from_trainer | |
metrics: | |
- accuracy | |
base_model: PygmalionAI/pygmalion-350m | |
model-index: | |
- name: pygmalion-350m | |
results: [] | |
# pygmalion-350m | |
This model is a fine-tuned version of [PygmalionAI/pygmalion-350m](https://huggingface.co/PygmalionAI/pygmalion-350m/) on a 2.4MB dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 2.2731 | |
- Accuracy: 0.5187 | |
## Model description | |
A proof-of-concept model based on PygmalionAI/pygmalion-350m, which was in turn based on OPT-350m. | |
This model was fine-tuned purely for testing purposes. | |
## Fine-tuning process | |
Fine-tuned on an A100-80GB with HF's `run_clm.py` script. It was run through 3 epochs with 8 batch size using 2.4MB dataset (split 75/25 between training and validation sets). | |
### Training hyperparameters | |
The following hyperparameters were used during training: | |
- learning_rate: 5e-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 | |
### Framework versions | |
- Transformers 4.27.0.dev0 | |
- Pytorch 1.13.1+cu117 | |
- Datasets 2.10.0 | |
- Tokenizers 0.13.2 | |