Upload alea/eval.py with huggingface_hub

alea/eval.py

@@ -33,7 +33,10 @@ def predict_all(model, tok, rows, device, max_len=4096):
     res = {}
     for row in rows:
         state, qs, targets = row_to_specs(row)
-        pk = pack_request(tok, state, qs, max_len=max_len)
+        try:
+            pk = pack_request(tok, state, qs, max_len=max_len, max_state=max_len-512)
+        except ValueError:
+            pk = pack_request(tok, state, qs, max_len=max_len+4096, max_state=max_len-512+4096)
         ids, mask, pos = collate([pk], tok.pad_token_id or tok.eos_token_id)
         out = model(ids.to(device), mask.to(device).to(torch.bfloat16),
                     pos.to(device), [pk])[0]
@@ -132,7 +135,7 @@ def permutation_test(model, tok, rows, device, n_perm=8, max_len=4096):
         ch = [q for q in qs if q.qtype == "choice"]
         if not ch:
             continue
-        base_pk = pack_request(tok, state, qs, max_len=max_len)
+        base_pk = pack_request(tok, state, qs, max_len=max_len, max_state=max_len-512)
         ids, mask, pos = collate([base_pk], tok.pad_token_id or tok.eos_token_id)
         base_out = model(ids.to(device), mask.to(device).to(torch.bfloat16),
                          pos.to(device), [base_pk])[0]