Not useable but updating the model after each checkpoint.It is only being trained on Tinystories at the moment. This is all done on CPU only for pretraining. At checkpoint 120 not even at 0.05 of an epoch the eval harness scores are
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| arc_challenge | 1 | none | 0 | acc | ↑ | 0.1869 | ± | 0.0114 |
| none | 0 | acc_norm | ↑ | 0.2500 | ± | 0.0127 | ||
| arc_easy | 1 | none | 0 | acc | ↑ | 0.2479 | ± | 0.0089 |
| none | 0 | acc_norm | ↑ | 0.2483 | ± | 0.0089 | ||
| boolq | 2 | none | 0 | acc | ↑ | 0.3783 | ± | 0.0085 |
| hellaswag | 1 | none | 0 | acc | ↑ | 0.2501 | ± | 0.0043 |
| none | 0 | acc_norm | ↑ | 0.2440 | ± | 0.0043 | ||
| openbookqa | 1 | none | 0 | acc | ↑ | 0.1220 | ± | 0.0147 |
| none | 0 | acc_norm | ↑ | 0.1800 | ± | 0.0172 | ||
| piqa | 1 | none | 0 | acc | ↑ | 0.5114 | ± | 0.0117 |
| none | 0 | acc_norm | ↑ | 0.4820 | ± | 0.0117 | ||
| winogrande | 1 | none | 0 | acc | ↑ | 0.4925 | ± | 0.0141 |
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