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Upload folder using huggingface_hub

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  1. .summary/0/events.out.tfevents.1697047556.rhmmedcatt-proliant-ml350-gen10 +3 -0
  2. .summary/1/events.out.tfevents.1697047556.rhmmedcatt-proliant-ml350-gen10 +3 -0
  3. README.md +117 -4
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  32. config.json +40 -22
  33. git.diff +2 -2
  34. replay.mp4 +2 -2
  35. sf_log.txt +0 -0
.summary/0/events.out.tfevents.1697047556.rhmmedcatt-proliant-ml350-gen10 ADDED
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README.md CHANGED
@@ -15,7 +15,7 @@ model-index:
15
  type: atari_gopher
16
  metrics:
17
  - type: mean_reward
18
- value: 852.00 +/- 418.78
19
  name: mean_reward
20
  verified: false
21
  ---
@@ -30,15 +30,128 @@ Documentation for how to use Sample-Factory can be found at https://www.samplefa
30
 
31
  After installing Sample-Factory, download the model with:
32
  ```
33
- python -m sample_factory.huggingface.load_from_hub -r MattStammers/appo-atari_gopher
34
  ```
35
 
36
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
37
  ## Using the model
38
 
39
  To run the model after download, use the `enjoy` script corresponding to this environment:
40
  ```
41
- python -m sf_examples.atari.enjoy_atari --algo=APPO --env=atari_gopher --train_dir=./train_dir --experiment=appo-atari_gopher
42
  ```
43
 
44
 
@@ -49,7 +162,7 @@ See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
49
 
50
  To continue training with this model, use the `train` script corresponding to this environment:
51
  ```
52
- python -m sf_examples.atari.train_atari --algo=APPO --env=atari_gopher --train_dir=./train_dir --experiment=appo-atari_gopher --restart_behavior=resume --train_for_env_steps=10000000000
53
  ```
54
 
55
  Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.
 
15
  type: atari_gopher
16
  metrics:
17
  - type: mean_reward
18
+ value: 10948.00 +/- 4990.36
19
  name: mean_reward
20
  verified: false
21
  ---
 
30
 
31
  After installing Sample-Factory, download the model with:
32
  ```
33
+ python -m sample_factory.huggingface.load_from_hub -r MattStammers/APPO-atari_gopher
34
  ```
35
 
36
 
37
+ ## About the Model
38
+
39
+ This model as with all the others in the benchmarks was trained initially asynchronously un-seeded to 10 million steps for the purposes of setting a sample factory async baseline for this model on this environment but only 3/57 made it.
40
+
41
+ The aim is to reach state-of-the-art (SOTA) performance on each atari environment. I will flag the models with SOTA when they reach at or near these levels.
42
+
43
+ The hyperparameters used in the model are the ones I have pushed to my fork of sample-factory: https://github.com/MattStammers/sample-factory. Given that https://huggingface.co/edbeeching has kindly shared his.
44
+ I saved time and energy by using many of his tuned hyperparameters to maximise performance. However, he used 2 billion training steps. I have started as explained above at 10 million then moved to 100m to see how performance goes:
45
+ ```
46
+ hyperparameters = {
47
+ "device": "gpu",
48
+ "seed": 1234,
49
+ "num_policies": 2,
50
+ "async_rl": true,
51
+ "serial_mode": false,
52
+ "batched_sampling": true,
53
+ "num_batches_to_accumulate": 2,
54
+ "worker_num_splits": 1,
55
+ "policy_workers_per_policy": 1,
56
+ "max_policy_lag": 1000,
57
+ "num_workers": 16,
58
+ "num_envs_per_worker": 2,
59
+ "batch_size": 1024,
60
+ "num_batches_per_epoch": 8,
61
+ "num_epochs": 4,
62
+ "rollout": 128,
63
+ "recurrence": 1,
64
+ "shuffle_minibatches": false,
65
+ "gamma": 0.99,
66
+ "reward_scale": 1.0,
67
+ "reward_clip": 1000.0,
68
+ "value_bootstrap": false,
69
+ "normalize_returns": true,
70
+ "exploration_loss_coeff": 0.0004677351413,
71
+ "value_loss_coeff": 0.5,
72
+ "kl_loss_coeff": 0.0,
73
+ "exploration_loss": "entropy",
74
+ "gae_lambda": 0.95,
75
+ "ppo_clip_ratio": 0.1,
76
+ "ppo_clip_value": 1.0,
77
+ "with_vtrace": false,
78
+ "vtrace_rho": 1.0,
79
+ "vtrace_c": 1.0,
80
+ "optimizer": "adam",
81
+ "adam_eps": 1e-05,
82
+ "adam_beta1": 0.9,
83
+ "adam_beta2": 0.999,
84
+ "max_grad_norm": 0.0,
85
+ "learning_rate": 0.0003033891184,
86
+ "lr_schedule": "linear_decay",
87
+ "lr_schedule_kl_threshold": 0.008,
88
+ "lr_adaptive_min": 1e-06,
89
+ "lr_adaptive_max": 0.01,
90
+ "obs_subtract_mean": 0.0,
91
+ "obs_scale": 255.0,
92
+ "normalize_input": true,
93
+ "normalize_input_keys": [
94
+ "obs"
95
+ ],
96
+ "decorrelate_experience_max_seconds": 0,
97
+ "decorrelate_envs_on_one_worker": true,
98
+ "actor_worker_gpus": [],
99
+ "set_workers_cpu_affinity": true,
100
+ "force_envs_single_thread": false,
101
+ "default_niceness": 0,
102
+ "log_to_file": true,
103
+ "experiment_summaries_interval": 3,
104
+ "flush_summaries_interval": 30,
105
+ "stats_avg": 100,
106
+ "summaries_use_frameskip": true,
107
+ "heartbeat_interval": 10,
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+ "heartbeat_reporting_interval": 60,
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+ "train_for_env_steps": 100000000,
110
+ "train_for_seconds": 10000000000,
111
+ "save_every_sec": 120,
112
+ "keep_checkpoints": 2,
113
+ "load_checkpoint_kind": "latest",
114
+ "save_milestones_sec": 1200,
115
+ "save_best_every_sec": 5,
116
+ "save_best_metric": "reward",
117
+ "save_best_after": 100000,
118
+ "benchmark": false,
119
+ "encoder_mlp_layers": [
120
+ 512,
121
+ 512
122
+ ],
123
+ "encoder_conv_architecture": "convnet_atari",
124
+ "encoder_conv_mlp_layers": [
125
+ 512
126
+ ],
127
+ "use_rnn": false,
128
+ "rnn_size": 512,
129
+ "rnn_type": "gru",
130
+ "rnn_num_layers": 1,
131
+ "decoder_mlp_layers": [],
132
+ "nonlinearity": "relu",
133
+ "policy_initialization": "orthogonal",
134
+ "policy_init_gain": 1.0,
135
+ "actor_critic_share_weights": true,
136
+ "adaptive_stddev": false,
137
+ "continuous_tanh_scale": 0.0,
138
+ "initial_stddev": 1.0,
139
+ "use_env_info_cache": false,
140
+ "env_gpu_actions": false,
141
+ "env_gpu_observations": true,
142
+ "env_frameskip": 4,
143
+ "env_framestack": 4,
144
+ }
145
+
146
+ ```
147
+
148
+
149
+
150
  ## Using the model
151
 
152
  To run the model after download, use the `enjoy` script corresponding to this environment:
153
  ```
154
+ python -m sf_examples.atari.enjoy_atari --algo=APPO --env=atari_gopher --train_dir=./train_dir --experiment=APPO-atari_gopher
155
  ```
156
 
157
 
 
162
 
163
  To continue training with this model, use the `train` script corresponding to this environment:
164
  ```
165
+ python -m sf_examples.atari.train_atari --algo=APPO --env=atari_gopher --train_dir=./train_dir --experiment=APPO-atari_gopher --restart_behavior=resume --train_for_env_steps=10000000000
166
  ```
167
 
168
  Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.
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config.json CHANGED
@@ -2,23 +2,23 @@
2
  "help": false,
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  "algo": "APPO",
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  "env": "atari_gopher",
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- "experiment": "atari_gopher",
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  "train_dir": "./train_atari",
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- "restart_behavior": "resume",
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@@ -28,7 +28,7 @@
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@@ -42,8 +42,8 @@
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  "adam_eps": 1e-05,
43
  "adam_beta1": 0.9,
44
  "adam_beta2": 0.999,
45
- "max_grad_norm": 0.5,
46
- "learning_rate": 0.00025,
47
  "lr_schedule": "linear_decay",
48
  "lr_schedule_kl_threshold": 0.008,
49
  "lr_adaptive_min": 1e-06,
@@ -51,7 +51,9 @@
51
  "obs_subtract_mean": 0.0,
52
  "obs_scale": 255.0,
53
  "normalize_input": true,
54
- "normalize_input_keys": null,
 
 
55
  "decorrelate_experience_max_seconds": 0,
56
  "decorrelate_envs_on_one_worker": true,
57
  "actor_worker_gpus": [],
@@ -63,14 +65,14 @@
63
  "flush_summaries_interval": 30,
64
  "stats_avg": 100,
65
  "summaries_use_frameskip": true,
66
- "heartbeat_interval": 20,
67
- "heartbeat_reporting_interval": 180,
68
- "train_for_env_steps": 10000000,
69
  "train_for_seconds": 10000000000,
70
  "save_every_sec": 120,
71
  "keep_checkpoints": 2,
72
  "load_checkpoint_kind": "latest",
73
- "save_milestones_sec": -1,
74
  "save_best_every_sec": 5,
75
  "save_best_metric": "reward",
76
  "save_best_after": 100000,
@@ -104,7 +106,7 @@
104
  "use_record_episode_statistics": true,
105
  "with_wandb": true,
106
  "wandb_user": "matt-stammers",
107
- "wandb_project": "atari",
108
  "wandb_group": "atari_gopher",
109
  "wandb_job_type": "SF",
110
  "wandb_tags": [
@@ -122,16 +124,32 @@
122
  "pbt_target_objective": "true_objective",
123
  "pbt_perturb_min": 1.1,
124
  "pbt_perturb_max": 1.5,
125
- "command_line": "--algo=APPO --env=atari_gopher --experiment=atari_gopher --num_policies=2 --train_dir=./train_atari --with_wandb=true --wandb_user=matt-stammers --wandb_project=atari --wandb_group=atari_gopher --wandb_job_type=SF --wandb_tags=atari",
126
  "cli_args": {
127
  "algo": "APPO",
128
  "env": "atari_gopher",
129
- "experiment": "atari_gopher",
130
  "train_dir": "./train_atari",
 
 
131
  "num_policies": 2,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
132
  "with_wandb": true,
133
  "wandb_user": "matt-stammers",
134
- "wandb_project": "atari",
135
  "wandb_group": "atari_gopher",
136
  "wandb_job_type": "SF",
137
  "wandb_tags": [
@@ -140,5 +158,5 @@
140
  },
141
  "git_hash": "5fff97c2f535da5987d358cdbe6927cccd43621e",
142
  "git_repo_name": "not a git repository",
143
- "wandb_unique_id": "atari_gopher_20230926_084144_469451"
144
  }
 
2
  "help": false,
3
  "algo": "APPO",
4
  "env": "atari_gopher",
5
+ "experiment": "atari_gopher_APPO",
6
  "train_dir": "./train_atari",
7
+ "restart_behavior": "restart",
8
  "device": "gpu",
9
+ "seed": 1234,
10
  "num_policies": 2,
11
+ "async_rl": true,
12
  "serial_mode": false,
13
+ "batched_sampling": true,
14
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15
  "worker_num_splits": 1,
16
  "policy_workers_per_policy": 1,
17
  "max_policy_lag": 1000,
18
+ "num_workers": 16,
19
+ "num_envs_per_worker": 2,
20
+ "batch_size": 1024,
21
+ "num_batches_per_epoch": 8,
22
  "num_epochs": 4,
23
  "rollout": 128,
24
  "recurrence": 1,
 
28
  "reward_clip": 1000.0,
29
  "value_bootstrap": false,
30
  "normalize_returns": true,
31
+ "exploration_loss_coeff": 0.0004677351413,
32
  "value_loss_coeff": 0.5,
33
  "kl_loss_coeff": 0.0,
34
  "exploration_loss": "entropy",
 
42
  "adam_eps": 1e-05,
43
  "adam_beta1": 0.9,
44
  "adam_beta2": 0.999,
45
+ "max_grad_norm": 0.0,
46
+ "learning_rate": 0.0003033891184,
47
  "lr_schedule": "linear_decay",
48
  "lr_schedule_kl_threshold": 0.008,
49
  "lr_adaptive_min": 1e-06,
 
51
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52
  "obs_scale": 255.0,
53
  "normalize_input": true,
54
+ "normalize_input_keys": [
55
+ "obs"
56
+ ],
57
  "decorrelate_experience_max_seconds": 0,
58
  "decorrelate_envs_on_one_worker": true,
59
  "actor_worker_gpus": [],
 
65
  "flush_summaries_interval": 30,
66
  "stats_avg": 100,
67
  "summaries_use_frameskip": true,
68
+ "heartbeat_interval": 10,
69
+ "heartbeat_reporting_interval": 60,
70
+ "train_for_env_steps": 100000000,
71
  "train_for_seconds": 10000000000,
72
  "save_every_sec": 120,
73
  "keep_checkpoints": 2,
74
  "load_checkpoint_kind": "latest",
75
+ "save_milestones_sec": 1200,
76
  "save_best_every_sec": 5,
77
  "save_best_metric": "reward",
78
  "save_best_after": 100000,
 
106
  "use_record_episode_statistics": true,
107
  "with_wandb": true,
108
  "wandb_user": "matt-stammers",
109
+ "wandb_project": "atari_APPO",
110
  "wandb_group": "atari_gopher",
111
  "wandb_job_type": "SF",
112
  "wandb_tags": [
 
124
  "pbt_target_objective": "true_objective",
125
  "pbt_perturb_min": 1.1,
126
  "pbt_perturb_max": 1.5,
127
+ "command_line": "--algo=APPO --env=atari_gopher --experiment=atari_gopher_APPO --num_policies=2 --restart_behavior=restart --train_dir=./train_atari --train_for_env_steps=100000000 --seed=1234 --num_workers=16 --num_envs_per_worker=2 --num_batches_per_epoch=8 --async_rl=true --batched_sampling=true --batch_size=1024 --max_grad_norm=0 --learning_rate=0.0003033891184 --heartbeat_interval=10 --heartbeat_reporting_interval=60 --save_milestones_sec=1200 --num_epochs=4 --exploration_loss_coeff=0.0004677351413 --with_wandb=true --wandb_user=matt-stammers --wandb_project=atari_APPO --wandb_group=atari_gopher --wandb_job_type=SF --wandb_tags=atari",
128
  "cli_args": {
129
  "algo": "APPO",
130
  "env": "atari_gopher",
131
+ "experiment": "atari_gopher_APPO",
132
  "train_dir": "./train_atari",
133
+ "restart_behavior": "restart",
134
+ "seed": 1234,
135
  "num_policies": 2,
136
+ "async_rl": true,
137
+ "batched_sampling": true,
138
+ "num_workers": 16,
139
+ "num_envs_per_worker": 2,
140
+ "batch_size": 1024,
141
+ "num_batches_per_epoch": 8,
142
+ "num_epochs": 4,
143
+ "exploration_loss_coeff": 0.0004677351413,
144
+ "max_grad_norm": 0.0,
145
+ "learning_rate": 0.0003033891184,
146
+ "heartbeat_interval": 10,
147
+ "heartbeat_reporting_interval": 60,
148
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149
+ "save_milestones_sec": 1200,
150
  "with_wandb": true,
151
  "wandb_user": "matt-stammers",
152
+ "wandb_project": "atari_APPO",
153
  "wandb_group": "atari_gopher",
154
  "wandb_job_type": "SF",
155
  "wandb_tags": [
 
158
  },
159
  "git_hash": "5fff97c2f535da5987d358cdbe6927cccd43621e",
160
  "git_repo_name": "not a git repository",
161
+ "wandb_unique_id": "atari_gopher_APPO_20231011_190553_386475"
162
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