better

RWKV-v4neo/src/dataset.py

@@ -37,7 +37,8 @@ class MyDataset(Dataset):
                 # rank_zero_info(self.data)
 
             if args.my_qa_mask > 0:
-                self.data_pile = MMapIndexedDataset('/fsx/BlinkDL/pile/pile_20B_tokenizer_text_document')
+                self.data_pile = MMapIndexedDataset('/fsx/pile/pile_20B_tokenizer_text_document')
+                # self.data_pile = MMapIndexedDataset('/fsx/pile_deduped/pile_0.87_deduped_text_document')
                 self.data_pile_size = len(self.data_pile._bin_buffer) // self.data._index._dtype_size
 
             if args.my_pile_stage > 0:
@@ -164,23 +165,16 @@ class MyDataset(Dataset):
                     if args.my_qa_mask > 0:
                         ii_orig = ii
                         if ii % 2 == 0:
-                            ii = (ii // 2) * args.magic_prime
+                            ii = -1
-                            if args.ctx_len == 1024:
-                                magic_prime = 324331313
-                            elif args.ctx_len == 2048:
-                                magic_prime = 162165671
-                            elif args.ctx_len == 4096:
-                                magic_prime = 81082817
-                            elif args.ctx_len == 8192:
-                                magic_prime = 40541399
                             data = self.data_pile
                         else:
                             ii = ii // 2
-
+                    if ii < 0:
+                        i = np.random.randint(0, self.data_pile_size - req_len)
+                    else:
                         factor = (math.sqrt(5) - 1) / 2
                         factor = int(magic_prime * factor)
                         i = ((factor * ii * ii * ii) % magic_prime) * ctx_len
-                    if (args.my_qa_mask == 0) or (data == self.data_pile):
                         i = i + args.my_pile_shift
                     # print(f"epoch {epoch} idx {idx} rank {rank}/{world_size} ii {ii} pos {round(i / self.data_size, 3)}")
                 elif args.my_pile_stage == 4:

RWKV-v4neo/train.py

@@ -76,7 +76,7 @@ if __name__ == "__main__":
 
     parser.add_argument("--lr_init", default=6e-4, type=float)  # 6e-4 for L12-D768, 4e-4 for L24-D1024, 3e-4 for L24-D2048
     parser.add_argument("--lr_final", default=1e-5, type=float)
-    parser.add_argument("--warmup_steps", default=0, type=int)  # try 50 if you load a model
+    parser.add_argument("--warmup_steps", default=-1, type=int)  # try 50 if you load a model
     parser.add_argument("--beta1", default=0.9, type=float)
     parser.add_argument("--beta2", default=0.99, type=float)  # use 0.999 when your model is close to convergence
     parser.add_argument("--adam_eps", default=1e-8, type=float)
@@ -173,9 +173,18 @@ if __name__ == "__main__":
                 args.magic_prime = 40541399
                 args.epoch_count = 1005
         else:
-            if args.ctx_len == 4096:
+            if args.ctx_len == 1024:
+                args.magic_prime = 1694947181
+                args.epoch_count = 42036
+            elif args.ctx_len == 2048:
+                args.magic_prime = 847473509
+                args.epoch_count = 21017
+            elif args.ctx_len == 4096:
                 args.magic_prime = 423736637
                 args.epoch_count = 10508
+            elif args.ctx_len == 6144:
+                args.magic_prime = 282491051
+                args.epoch_count = 7005
             elif args.ctx_len == 8192:
                 args.magic_prime = 211868243
                 args.epoch_count = 5253
@@ -207,6 +216,7 @@ if __name__ == "__main__":
                 args.load_model = f"{args.proj_dir}/rwkv-init.pth"
             else:
                 args.load_model = f"{args.proj_dir}/rwkv-{max_p}.pth"
+                if args.warmup_steps < 0:
                     if args.my_pile_stage == 2:
                         args.warmup_steps = 10
                     else: