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# Additional Experiments
2024-04-24 07:23:11 -05:00
The table below adds experiments to answer additional questions about various design choices. The first row uses the same settings as the main chapter and is used as a reference.
For example,
- comparing rows 1 and 2 answers the question: "What is the performance difference when we train the last or first token?";
- comparing rows 1 and 3 answers the question: "What is the performance difference when we train only the last layer instead of the last block?";
- and so forth.
| | Model | Weights | Trainable token | Trainable layers | Context length | CPU/GPU | Training time | Training acc | Validation acc | Test acc |
|---|--------------------|------------|-----------------|------------------|-------------------------|---------|---------------|--------------|----------------|----------|
| 1 | gpt2-small (124M) | pretrained | last | last_block | longest train ex. (120) | V100 | 0.39 min | 96.63% | 97.99% | 94.33% |
| 2 | gpt2-small (124M) | pretrained | first | last_block | longest train ex. (120) | V100 | 0.37 min | 78.46% | 80.54% | 75.00% |
| 3 | gpt2-small (124M) | pretrained | last | last_layer | longest train ex. (120) | V100 | 0.33 min | 78.65% | 87.25% | 78.33% |
| 4 | gpt2-small (124M) | pretrained | last | all | longest train ex. (120) | V100 | 0.94 min | 99.62% | 96.64% | 96.33% |
| 5 | gpt2-medium (355M) | pretrained | last | last_block | longest train ex. (120) | V100 | 0.91 min | 87.50% | 51.01% | 56.67% |
| 6 | gpt2-large (774M) | pretrained | last | last_block | longest train ex. (120) | V100 | 1.91 min | 99.52% | 98.66% | 96.67% |
| 7 | gpt2-small (124M) | random | last | all | longest train ex. (120) | V100 | 0.93 min | 100% | 97.32% | 93.00% |
| 8 | gpt2-small (124M) | pretrained | last | last_block | context length (1024) | V100 | 3.24 min | 83.08% | 87.92% | 78.33% |