Upload alea/rl_env.py with huggingface_hub

alea/rl_env.py

@@ -100,6 +100,7 @@ def main():
     ap.add_argument("--use-aux-embed", action="store_true")
     ap.add_argument("--use-ngram", action="store_true")
     ap.add_argument("--use-ngram2", action="store_true")
+    ap.add_argument("--use-ngram3", action="store_true")
     ap.add_argument("--attn", default="sdpa", choices=["eager", "sdpa"])
     ap.add_argument("--max-len", type=int, default=2048)
     ap.add_argument("--save-every", type=int, default=200)
@@ -123,7 +124,8 @@ def main():
     model = AleaModel(args.model, attn_impl=args.attn,
                       use_aux_embed=args.use_aux_embed,
                       use_ngram=args.use_ngram,
-                      use_ngram2=args.use_ngram2).to(dev)
+                      use_ngram2=args.use_ngram2,
+                      use_ngram3=args.use_ngram3).to(dev)
     load_into(model, args.init)
     set_freeze(model, args.train_mode, args.tail_k)
     model.backbone.gradient_checkpointing_enable()
@@ -132,7 +134,8 @@ def main():
     ref = AleaModel(args.model, attn_impl=args.attn,
                     use_aux_embed=args.use_aux_embed,
                     use_ngram=args.use_ngram,
-                    use_ngram2=args.use_ngram2).to(dev)
+                    use_ngram2=args.use_ngram2,
+                    use_ngram3=args.use_ngram3).to(dev)
     load_into(ref, args.init)
     for p in ref.parameters():
         p.requires_grad_(False)
@@ -145,7 +148,7 @@ def main():
     groups = [{"params": head_params, "lr": args.lr_head}]
     if bb_params:
         groups.append({"params": bb_params, "lr": args.lr})
-    aux = [p for m in (model.aux_embed, model.ngram, model.ngram2)
+    aux = [p for m in (model.aux_embed, model.ngram, model.ngram2, model.ngram3)
            if m is not None
            for p in m.parameters()]
     if aux: