This model is a fine-tuned version of 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
