This 9B model, built on the RWKV v5 architecture, was exclusively trained using AMD GPUs. The model's training process advanced in tandem with the evolution of ROCm (upto ROCm 6.0.0), this means a lot of experimentation 😅.
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | |
|---|---|---|---|---|---|---|---|
| mathqa | Yaml | none | 0 | acc | 0.2673 | ± | 0.0081 |
| none | 0 | acc_norm | 0.2747 | ± | 0.0082 | ||
| copa | Yaml | none | 0 | acc | 0.87 | ± | 0.0338 |
| boolq | Yaml | none | 0 | acc | 0.6927 | ± | 0.0081 |
| hellaswag | Yaml | none | 0 | acc | 0.5148 | ± | 0.0050 |
| none | 0 | acc_norm | 0.6833 | ± | 0.0046 | ||
| sciq | Yaml | none | 0 | acc | 0.9430 | ± | 0.0073 |
| none | 0 | acc_norm | 0.9210 | ± | 0.0085 | ||
| lambada_openai | Yaml | none | 0 | perplexity | 3.7234 | ± | 0.0767 |
| none | 0 | acc | 0.7145 | ± | 0.0063 | ||
| piqa | Yaml | none | 0 | acc | 0.7568 | ± | 0.0100 |
| none | 0 | acc_norm | 0.7693 | ± | 0.0098 | ||
| arc_challenge | Yaml | none | 0 | acc | 0.3823 | ± | 0.0142 |
| none | 0 | acc_norm | 0.4172 | ± | 0.0144 | ||
| arc_easy | Yaml | none | 0 | acc | 0.7151 | ± | 0.0093 |
| none | 0 | acc_norm | 0.7109 | ± | 0.0093 |
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