pygmalion-350m
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
- 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
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