Upload 9 files

alive_fine-tuning.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:452818abbd354bbfe09a35ea8341fd456bf074ad62183897f789ecbadd962af5
+size 724660371

duel_fine-tuning.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62ba9fd824992be31218e6214b324081069510a122312c9e57a54d5cec848d99
+size 746661171

nxt_kill_fine-tuning.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a52578fc67b33dbdf1ee266778da8aba52acafc088281d09ef7fd0e27c880a9d
+size 724734291

tfm_alive_fine-tuning.yaml

@@ -0,0 +1,177 @@
+# Model configuration
+model:
+  model_name: "TickTransformerModelROPE"
+
+  vocab_size: 979  # Vocabulary size for token embeddings
+  embed_dim: 640     # Embedding dimension
+  seq_len: 512       # Sequence length per tick
+  dropout: 0.1       # Dropout rate
+  
+  # Embedder (non-causal transformer encoder)
+  embedder_heads: 10
+  embedder_layers: 6
+  
+  # Processor (GPT-style causal transformer for next token prediction)
+  processor_heads: 10
+  processor_layers: 8
+  
+  # Decoder (non-causal transformer to decode embeddings to sequences)
+  decoder_heads: 10
+  decoder_layers: 6
+
+  # Alive prediction head
+  alive_hidden_dim: 512  # Hidden dimension for alive prediction head
+  alive_hidden_layers: 1     # Number of hidden layers in alive prediction head
+
+# Training configuration
+training:
+  batch_size: 16
+  grad_accum_steps: 4
+  learning_rate_prediction_head: 0.00005
+  learning_rate_embedder: 0
+  learning_rate_processor: 0.00001
+  weight_decay: 0.01
+  num_epochs: 30
+  warmup_steps: 1000
+  max_grad_norm: 1.0
+  
+  scheduler: 'cosine'  # 'cosine' or 'linear'
+  
+  base_model_path: '/share/guwanjun-local/cs2-demo-analytics/checkpoints_pretraining_v2/final.pth'
+  checkpoint_dir: 'checkpoints_alive_fine-tuning_v2'
+
+  from_scratch: False  # Whether to train from scratch or fine-tune from a pre-trained model
+
+  use_lora: False # Whether to use LoRA for fine-tuning
+  lora_r: 8
+  lora_alpha: 16
+  lora_dropout: 0.1
+
+# Data configuration
+data:
+  train_data_path: 
+    - archive_1.pt
+    - new_archive_1.pt
+    - archive_2.pt
+    - new_archive_2.pt
+    - archive_3.pt
+    - new_archive_3.pt
+    - archive_4.pt
+    - new_archive_4.pt
+    - new_archive_5.pt
+    - archive_5.pt
+    - archive_6.pt
+    - new_archive_6.pt
+    - archive_7.pt
+    - new_archive_7.pt
+    - archive_8.pt
+    - new_archive_8.pt
+    - archive_9.pt
+    - new_archive_9.pt
+    - archive_10.pt
+    - new_archive_10.pt
+    - archive_11.pt
+    - new_archive_11.pt
+    - archive_12.pt
+    - new_archive_12.pt
+    - archive_13.pt
+    - new_archive_13.pt
+    - archive_14.pt
+    - new_archive_14.pt
+    - archive_15.pt
+    - new_archive_15.pt
+    - archive_16.pt
+    - new_archive_16.pt
+    - archive_17.pt
+    - new_archive_17.pt
+    - archive_18.pt
+    - new_archive_18.pt
+    - archive_19.pt
+    - new_archive_19.pt
+    - archive_20.pt
+    - new_archive_20.pt
+    - archive_21.pt
+    - new_archive_21.pt
+    - archive_22.pt
+    - new_archive_22.pt
+    - archive_23.pt
+    - new_archive_23.pt
+    - archive_24.pt
+    - new_archive_24.pt
+    - archive_25.pt
+    - new_archive_25.pt
+    - archive_26.pt
+    - new_archive_26.pt
+    - archive_27.pt
+    - new_archive_27.pt
+    - archive_28.pt
+    - new_archive_28.pt
+    - archive_29.pt
+    - new_archive_29.pt
+    - archive_30.pt
+    - new_archive_30.pt
+    - archive_31.pt
+    - new_archive_31.pt
+    - archive_32.pt
+    - new_archive_32.pt
+    - archive_33.pt
+    - new_archive_33.pt
+    - archive_34.pt
+    - new_archive_34.pt
+    - archive_35.pt
+    - new_archive_35.pt
+    - archive_36.pt
+    - new_archive_36.pt
+    - archive_37.pt
+    - new_archive_37.pt
+    - archive_38.pt
+    - new_archive_38.pt
+    - archive_39.pt
+    - new_archive_39.pt
+    - archive_40.pt
+    - new_archive_40.pt
+    - archive_41.pt
+    - new_archive_41.pt
+    - archive_42.pt
+    - new_archive_42.pt
+    - archive_43.pt
+    - new_archive_43.pt
+    - archive_44.pt
+    - new_archive_44.pt
+    - archive_45.pt
+    - archive_46.pt
+    - archive_47.pt
+    - archive_48.pt
+    - archive_49.pt
+    - archive_50.pt
+    - archive_51.pt
+    - archive_52.pt
+    - archive_53.pt
+    - archive_54.pt
+    - archive_55.pt
+    - archive_56.pt
+    - archive_57.pt
+    - archive_58.pt
+    - archive_59.pt
+    - archive_60.pt
+    - archive_61.pt
+    - archive_106.pt
+    - archive_107.pt
+  val_data_path: 
+    - archive_108.pt
+    - archive_109.pt
+  num_workers: 4
+  
+  # Data dimensions (must match model)
+  ticks_per_sample: 64  # Number of ticks in each training sample
+  seq_len: 512          # Must match model.seq_len
+  pad_token: 978     # Token ID used for padding sequences
+
+# Device configuration
+device: 'cuda:1'  # 'cuda' or 'cpu'
+
+# wandb logging configuration
+logging:
+  project_name: 'tick-transformer-alive-fine-tuning'
+  test: 2048
+  

tfm_duel_fine-tuning.yaml

@@ -0,0 +1,178 @@
+# Model configuration
+model:
+  model_name: "TickTransformerModelROPE"
+
+  vocab_size: 979  # Vocabulary size for token embeddings
+  embed_dim: 640     # Embedding dimension
+  seq_len: 512       # Sequence length per tick
+  dropout: 0.1       # Dropout rate
+  
+  # Embedder (non-causal transformer encoder)
+  embedder_heads: 10
+  embedder_layers: 6
+  
+  # Processor (GPT-style causal transformer for next token prediction)
+  processor_heads: 10
+  processor_layers: 8
+  
+  # Decoder (non-causal transformer to decode embeddings to sequences)
+  decoder_heads: 10
+  decoder_layers: 6
+
+  # Duel prediction head
+  duel_hidden_dim: 1024  # Hidden dimension for duel prediction head
+  duel_hidden_layers: 2     # Number of hidden layers in duel prediction head
+  duel_player_embedding_dim: 64
+
+# Training configuration
+training:
+  batch_size: 16
+  grad_accum_steps: 4
+  learning_rate_prediction_head: 0.00005
+  learning_rate_embedder: 0
+  learning_rate_processor: 0.00001
+  weight_decay: 0.01
+  num_epochs: 30
+  warmup_steps: 1000
+  max_grad_norm: 1.0
+  
+  scheduler: 'cosine'  # 'cosine' or 'linear'
+  
+  base_model_path: '/share/guwanjun-local/cs2-demo-analytics/checkpoints_pretraining_v2/final.pth'
+  checkpoint_dir: 'checkpoints_duel_fine-tuning_v2'
+
+  from_scratch: False  # Whether to train from scratch or fine-tune from a pre-trained model
+
+  use_lora: False # Whether to use LoRA for fine-tuning
+  lora_r: 8
+  lora_alpha: 16
+  lora_dropout: 0.1
+
+# Data configuration
+data:
+  train_data_path: 
+    - archive_1.pt
+    - new_archive_1.pt
+    - archive_2.pt
+    - new_archive_2.pt
+    - archive_3.pt
+    - new_archive_3.pt
+    - archive_4.pt
+    - new_archive_4.pt
+    - new_archive_5.pt
+    - archive_5.pt
+    - archive_6.pt
+    - new_archive_6.pt
+    - archive_7.pt
+    - new_archive_7.pt
+    - archive_8.pt
+    - new_archive_8.pt
+    - archive_9.pt
+    - new_archive_9.pt
+    - archive_10.pt
+    - new_archive_10.pt
+    - archive_11.pt
+    - new_archive_11.pt
+    - archive_12.pt
+    - new_archive_12.pt
+    - archive_13.pt
+    - new_archive_13.pt
+    - archive_14.pt
+    - new_archive_14.pt
+    - archive_15.pt
+    - new_archive_15.pt
+    - archive_16.pt
+    - new_archive_16.pt
+    - archive_17.pt
+    - new_archive_17.pt
+    - archive_18.pt
+    - new_archive_18.pt
+    - archive_19.pt
+    - new_archive_19.pt
+    - archive_20.pt
+    - new_archive_20.pt
+    - archive_21.pt
+    - new_archive_21.pt
+    - archive_22.pt
+    - new_archive_22.pt
+    - archive_23.pt
+    - new_archive_23.pt
+    - archive_24.pt
+    - new_archive_24.pt
+    - archive_25.pt
+    - new_archive_25.pt
+    - archive_26.pt
+    - new_archive_26.pt
+    - archive_27.pt
+    - new_archive_27.pt
+    - archive_28.pt
+    - new_archive_28.pt
+    - archive_29.pt
+    - new_archive_29.pt
+    - archive_30.pt
+    - new_archive_30.pt
+    - archive_31.pt
+    - new_archive_31.pt
+    - archive_32.pt
+    - new_archive_32.pt
+    - archive_33.pt
+    - new_archive_33.pt
+    - archive_34.pt
+    - new_archive_34.pt
+    - archive_35.pt
+    - new_archive_35.pt
+    - archive_36.pt
+    - new_archive_36.pt
+    - archive_37.pt
+    - new_archive_37.pt
+    - archive_38.pt
+    - new_archive_38.pt
+    - archive_39.pt
+    - new_archive_39.pt
+    - archive_40.pt
+    - new_archive_40.pt
+    - archive_41.pt
+    - new_archive_41.pt
+    - archive_42.pt
+    - new_archive_42.pt
+    - archive_43.pt
+    - new_archive_43.pt
+    - archive_44.pt
+    - new_archive_44.pt
+    - archive_45.pt
+    - archive_46.pt
+    - archive_47.pt
+    - archive_48.pt
+    - archive_49.pt
+    - archive_50.pt
+    - archive_51.pt
+    - archive_52.pt
+    - archive_53.pt
+    - archive_54.pt
+    - archive_55.pt
+    - archive_56.pt
+    - archive_57.pt
+    - archive_58.pt
+    - archive_59.pt
+    - archive_60.pt
+    - archive_61.pt
+    - archive_106.pt
+    - archive_107.pt
+  val_data_path: 
+    - archive_108.pt
+    - archive_109.pt
+  num_workers: 4
+  
+  # Data dimensions (must match model)
+  ticks_per_sample: 64  # Number of ticks in each training sample
+  seq_len: 512          # Must match model.seq_len
+  pad_token: 978     # Token ID used for padding sequences
+
+# Device configuration
+device: 'cuda:3'  # 'cuda' or 'cpu'
+
+# wandb logging configuration
+logging:
+  project_name: 'tick-transformer-duel-fine-tuning'
+  test: 2048
+  

tfm_nxt_kill_fine-tuning.yaml

@@ -0,0 +1,177 @@
+# Model configuration
+model:
+  model_name: "TickTransformerModelROPE"
+
+  vocab_size: 979  # Vocabulary size for token embeddings
+  embed_dim: 640     # Embedding dimension
+  seq_len: 512       # Sequence length per tick
+  dropout: 0.1       # Dropout rate
+  
+  # Embedder (non-causal transformer encoder)
+  embedder_heads: 10
+  embedder_layers: 6
+  
+  # Processor (GPT-style causal transformer for next token prediction)
+  processor_heads: 10
+  processor_layers: 8
+  
+  # Decoder (non-causal transformer to decode embeddings to sequences)
+  decoder_heads: 10
+  decoder_layers: 6
+
+  # nxt_kill prediction head
+  nxt_kill_hidden_dim: 512  # Hidden dimension for nxt_kill prediction head
+  nxt_kill_hidden_layers: 1     # Number of hidden layers in nxt_kill prediction head
+
+# Training configuration
+training:
+  batch_size: 16
+  grad_accum_steps: 4
+  learning_rate_prediction_head: 0.00005
+  learning_rate_embedder: 0
+  learning_rate_processor: 0.00001
+  weight_decay: 0.01
+  num_epochs: 30
+  warmup_steps: 1000
+  max_grad_norm: 1.0
+  
+  scheduler: 'cosine'  # 'cosine' or 'linear'
+  
+  base_model_path: '/share/guwanjun-local/cs2-demo-analytics/checkpoints_pretraining_v2/final.pth'
+  checkpoint_dir: 'checkpoints_nxt_kill_fine-tuning_v2'
+
+  from_scratch: False  # Whether to train from scratch or fine-tune from a pre-trained model
+
+  use_lora: False # Whether to use LoRA for fine-tuning
+  lora_r: 8
+  lora_alpha: 16
+  lora_dropout: 0.1
+
+# Data configuration
+data:
+  train_data_path: 
+    - archive_1.pt
+    - new_archive_1.pt
+    - archive_2.pt
+    - new_archive_2.pt
+    - archive_3.pt
+    - new_archive_3.pt
+    - archive_4.pt
+    - new_archive_4.pt
+    - new_archive_5.pt
+    - archive_5.pt
+    - archive_6.pt
+    - new_archive_6.pt
+    - archive_7.pt
+    - new_archive_7.pt
+    - archive_8.pt
+    - new_archive_8.pt
+    - archive_9.pt
+    - new_archive_9.pt
+    - archive_10.pt
+    - new_archive_10.pt
+    - archive_11.pt
+    - new_archive_11.pt
+    - archive_12.pt
+    - new_archive_12.pt
+    - archive_13.pt
+    - new_archive_13.pt
+    - archive_14.pt
+    - new_archive_14.pt
+    - archive_15.pt
+    - new_archive_15.pt
+    - archive_16.pt
+    - new_archive_16.pt
+    - archive_17.pt
+    - new_archive_17.pt
+    - archive_18.pt
+    - new_archive_18.pt
+    - archive_19.pt
+    - new_archive_19.pt
+    - archive_20.pt
+    - new_archive_20.pt
+    - archive_21.pt
+    - new_archive_21.pt
+    - archive_22.pt
+    - new_archive_22.pt
+    - archive_23.pt
+    - new_archive_23.pt
+    - archive_24.pt
+    - new_archive_24.pt
+    - archive_25.pt
+    - new_archive_25.pt
+    - archive_26.pt
+    - new_archive_26.pt
+    - archive_27.pt
+    - new_archive_27.pt
+    - archive_28.pt
+    - new_archive_28.pt
+    - archive_29.pt
+    - new_archive_29.pt
+    - archive_30.pt
+    - new_archive_30.pt
+    - archive_31.pt
+    - new_archive_31.pt
+    - archive_32.pt
+    - new_archive_32.pt
+    - archive_33.pt
+    - new_archive_33.pt
+    - archive_34.pt
+    - new_archive_34.pt
+    - archive_35.pt
+    - new_archive_35.pt
+    - archive_36.pt
+    - new_archive_36.pt
+    - archive_37.pt
+    - new_archive_37.pt
+    - archive_38.pt
+    - new_archive_38.pt
+    - archive_39.pt
+    - new_archive_39.pt
+    - archive_40.pt
+    - new_archive_40.pt
+    - archive_41.pt
+    - new_archive_41.pt
+    - archive_42.pt
+    - new_archive_42.pt
+    - archive_43.pt
+    - new_archive_43.pt
+    - archive_44.pt
+    - new_archive_44.pt
+    - archive_45.pt
+    - archive_46.pt
+    - archive_47.pt
+    - archive_48.pt
+    - archive_49.pt
+    - archive_50.pt
+    - archive_51.pt
+    - archive_52.pt
+    - archive_53.pt
+    - archive_54.pt
+    - archive_55.pt
+    - archive_56.pt
+    - archive_57.pt
+    - archive_58.pt
+    - archive_59.pt
+    - archive_60.pt
+    - archive_61.pt
+    - archive_106.pt
+    - archive_107.pt
+  val_data_path: 
+    - archive_108.pt
+    - archive_109.pt
+  num_workers: 4
+  
+  # Data dimensions (must match model)
+  ticks_per_sample: 64  # Number of ticks in each training sample
+  seq_len: 512          # Must match model.seq_len
+  pad_token: 978     # Token ID used for padding sequences
+
+# Device configuration
+device: 'cuda:2'  # 'cuda' or 'cpu'
+
+# wandb logging configuration
+logging:
+  project_name: 'tick-transformer-nxt_kill-fine-tuning'
+  test: 2048
+  

tfm_win_rate_fine-tuning.yaml

@@ -0,0 +1,177 @@
+# Model configuration
+model:
+  model_name: "TickTransformerModelROPE"
+
+  vocab_size: 979  # Vocabulary size for token embeddings
+  embed_dim: 640     # Embedding dimension
+  seq_len: 512       # Sequence length per tick
+  dropout: 0.1       # Dropout rate
+  
+  # Embedder (non-causal transformer encoder)
+  embedder_heads: 10
+  embedder_layers: 6
+  
+  # Processor (GPT-style causal transformer for next token prediction)
+  processor_heads: 10
+  processor_layers: 8
+  
+  # Decoder (non-causal transformer to decode embeddings to sequences)
+  decoder_heads: 10
+  decoder_layers: 6
+
+  # Win rate prediction head
+  win_rate_hidden_dim: 512  # Hidden dimension for win rate prediction head
+  win_rate_hidden_layers: 1     # Number of hidden layers in win rate prediction head
+
+# Training configuration
+training:
+  batch_size: 16
+  grad_accum_steps: 4
+  learning_rate_prediction_head: 0.00005
+  learning_rate_embedder: 0
+  learning_rate_processor: 0.00001
+  weight_decay: 0.01
+  num_epochs: 30
+  warmup_steps: 1000
+  max_grad_norm: 1.0
+  
+  scheduler: 'cosine'  # 'cosine' or 'linear'
+  
+  base_model_path: '/share/guwanjun-local/cs2-demo-analytics/checkpoints_pretraining_v2/final.pth'
+  checkpoint_dir: 'checkpoints_win_rate_fine-tuning_v2'
+
+  from_scratch: False  # Whether to train from scratch or fine-tune from a pre-trained model
+
+  use_lora: False # Whether to use LoRA for fine-tuning
+  lora_r: 8
+  lora_alpha: 16
+  lora_dropout: 0.1
+
+# Data configuration
+data:
+  train_data_path: 
+    - archive_1.pt
+    - new_archive_1.pt
+    - archive_2.pt
+    - new_archive_2.pt
+    - archive_3.pt
+    - new_archive_3.pt
+    - archive_4.pt
+    - new_archive_4.pt
+    - new_archive_5.pt
+    - archive_5.pt
+    - archive_6.pt
+    - new_archive_6.pt
+    - archive_7.pt
+    - new_archive_7.pt
+    - archive_8.pt
+    - new_archive_8.pt
+    - archive_9.pt
+    - new_archive_9.pt
+    - archive_10.pt
+    - new_archive_10.pt
+    - archive_11.pt
+    - new_archive_11.pt
+    - archive_12.pt
+    - new_archive_12.pt
+    - archive_13.pt
+    - new_archive_13.pt
+    - archive_14.pt
+    - new_archive_14.pt
+    - archive_15.pt
+    - new_archive_15.pt
+    - archive_16.pt
+    - new_archive_16.pt
+    - archive_17.pt
+    - new_archive_17.pt
+    - archive_18.pt
+    - new_archive_18.pt
+    - archive_19.pt
+    - new_archive_19.pt
+    - archive_20.pt
+    - new_archive_20.pt
+    - archive_21.pt
+    - new_archive_21.pt
+    - archive_22.pt
+    - new_archive_22.pt
+    - archive_23.pt
+    - new_archive_23.pt
+    - archive_24.pt
+    - new_archive_24.pt
+    - archive_25.pt
+    - new_archive_25.pt
+    - archive_26.pt
+    - new_archive_26.pt
+    - archive_27.pt
+    - new_archive_27.pt
+    - archive_28.pt
+    - new_archive_28.pt
+    - archive_29.pt
+    - new_archive_29.pt
+    - archive_30.pt
+    - new_archive_30.pt
+    - archive_31.pt
+    - new_archive_31.pt
+    - archive_32.pt
+    - new_archive_32.pt
+    - archive_33.pt
+    - new_archive_33.pt
+    - archive_34.pt
+    - new_archive_34.pt
+    - archive_35.pt
+    - new_archive_35.pt
+    - archive_36.pt
+    - new_archive_36.pt
+    - archive_37.pt
+    - new_archive_37.pt
+    - archive_38.pt
+    - new_archive_38.pt
+    - archive_39.pt
+    - new_archive_39.pt
+    - archive_40.pt
+    - new_archive_40.pt
+    - archive_41.pt
+    - new_archive_41.pt
+    - archive_42.pt
+    - new_archive_42.pt
+    - archive_43.pt
+    - new_archive_43.pt
+    - archive_44.pt
+    - new_archive_44.pt
+    - archive_45.pt
+    - archive_46.pt
+    - archive_47.pt
+    - archive_48.pt
+    - archive_49.pt
+    - archive_50.pt
+    - archive_51.pt
+    - archive_52.pt
+    - archive_53.pt
+    - archive_54.pt
+    - archive_55.pt
+    - archive_56.pt
+    - archive_57.pt
+    - archive_58.pt
+    - archive_59.pt
+    - archive_60.pt
+    - archive_61.pt
+    - archive_106.pt
+    - archive_107.pt
+  val_data_path: 
+    - archive_108.pt
+    - archive_109.pt
+  num_workers: 4
+  
+  # Data dimensions (must match model)
+  ticks_per_sample: 64  # Number of ticks in each training sample
+  seq_len: 512          # Must match model.seq_len
+  pad_token: 978     # Token ID used for padding sequences
+
+# Device configuration
+device: 'cuda:0'  # 'cuda' or 'cpu'
+
+# wandb logging configuration
+logging:
+  project_name: 'tick-transformer-win-rate-fine-tuning'
+  test: 2048
+  

tokenizer.yaml

@@ -0,0 +1,138 @@
+maps:
+  de_mirage:
+    center:
+    - -605.8900146484375
+    - -866.8900146484375
+    - -171.6199951171875
+  de_dust2:
+    center:
+    - -199.0
+    - 977.0
+    - 32.220001220703125
+  de_inferno:
+    center:
+    - 481.07000732421875
+    - 1396.47998046875
+    - 137.91000366210938
+  de_nuke:
+    center:
+    - 265.9599914550781
+    - -772.5
+    - -381.8999938964844
+  de_overpass:
+    center:
+    - -2027.3900146484375
+    - -812.9000244140625
+    - 324.95001220703125
+  de_ancient:
+    center:
+    - -435.5
+    - -348.0
+    - 43.650001525878906
+  de_anubis:
+    center:
+    - -77.38999938964844
+    - 618.9000244140625
+    - -6.800000190734863
+  de_train:
+    center:
+    - -118.25
+    - -2.0
+    - -128.52000427246094
+
+weapons:
+  - Desert Eagle
+  - Dual Berettas
+  - Five-SeveN
+  - Glock-18
+  - AK-47
+  - AUG
+  - AWP
+  - FAMAS
+  - G3SG1
+  - Galil AR
+  - M249
+  - M4A4
+  - MAC-10
+  - P90
+  - MP5-SD
+  - UMP-45
+  - XM1014
+  - PP-Bizon
+  - MAG-7
+  - Negev
+  - Sawed-Off
+  - Tec-9
+  - Zeus x27
+  - P2000
+  - MP7
+  - MP9
+  - Nova
+  - P250
+  - SCAR-20
+  - SG 553
+  - SSG 08
+  - knife
+  - Flashbang
+  - High Explosive Grenade
+  - Smoke Grenade
+  - Molotov
+  - Decoy Grenade
+  - Incendiary Grenade
+  - C4 Explosive
+  - Kevlar Vest
+  - Kevlar & Helmet
+  - Heavy Assault Suit
+  - item_nvg
+  - Defuse Kit
+  - Rescue Kit
+  - Medi-Shot
+  - M4A1-S
+  - USP-S
+  - Trade Up Contract
+  - CZ75-Auto
+  - R8 Revolver
+
+projectiles: # 落地后的状态
+  - smokegrenade
+  - inferno
+
+entity_projectiles: # 飞行中的状态
+  - CHEGrenadeProjectile
+  - CSmokeGrenadeProjectile
+  - CMolotovProjectile
+  - CDecoyProjectile
+  - CFlashbangProjectile
+
+safe_mode: 0
+
+tokenizer:
+  position:
+    x:
+      range: [-5000, 5000]
+      grid: 1 # tokenizer离散化每个单位 = 1 个游戏单位
+    y:
+      range: [-5000, 5000]
+      grid: 1
+    z:
+      range: [-2000, 2000]
+      grid: 1
+
+  view_angle:
+    pitch:
+      range: [-90, 90]
+      grid: 1
+    yaw:
+      range: [-180, 180]
+      grid: 1
+
+  status:
+    health_grid: 1
+    time_grid: 1
+    max_time: 170
+    max_health: 100
+    n_players: 10
+
+  planted_duration:
+    range: [0, 40]
+    grid: 0.5

win_rate_fine-tuning.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:612598103ef8b8b96d60add6ab968ec7ac0123b68372ac37713de5879d3c57d0
+size 724605075