Hugging Face's logo

Datasets:
ML2
/
meent-sample-data

Tags:
SciML
Computational Science
Optics
License:
Dataset card Files
xet
Community
meent-sample-data
File size: 7,907 Bytes 
abb0050
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
 
num_threads: 1
float32_matmul_precision: high
dry_run: false
seed: 42
torch_use_deterministic_algorithms: false
torch_backends_cudnn_benchmark: true
torch_backends_cudnn_deterministic: false
cublas_workspace_config: null
exp_name: dreamer_v3_MeentIndexEfield-v0
run_name: 2024-05-05_06-34-59_dreamer_v3_MeentIndexEfield-v0_42
root_dir: dreamer_v3/MeentIndexEfield-v0
algo:
  name: dreamer_v3
  total_steps: 400000
  per_rank_batch_size: 8
  run_test: true
  cnn_keys:
    encoder:
    - real_field
    - imag_field
    decoder:
    - real_field
    - imag_field
  mlp_keys:
    encoder:
    - struct
    decoder:
    - struct
  world_model:
    optimizer:
      _target_: torch.optim.Adam
      lr: 0.0001
      eps: 1.0e-08
      weight_decay: 0
      betas:
      - 0.9
      - 0.999
    discrete_size: 32
    stochastic_size: 32
    kl_dynamic: 0.5
    kl_representation: 0.1
    kl_free_nats: 1.0
    kl_regularizer: 1.0
    continue_scale_factor: 1.0
    clip_gradients: 1000.0
    decoupled_rssm: false
    learnable_initial_recurrent_state: true
    encoder:
      cnn_channels_multiplier: 64
      cnn_act: torch.nn.SiLU
      dense_act: torch.nn.SiLU
      mlp_layers: 4
      cnn_layer_norm:
        cls: sheeprl.models.models.LayerNormChannelLast
        kw:
          eps: 0.001
      mlp_layer_norm:
        cls: sheeprl.models.models.LayerNorm
        kw:
          eps: 0.001
      dense_units: 768
    recurrent_model:
      recurrent_state_size: 2048
      layer_norm:
        cls: sheeprl.models.models.LayerNorm
        kw:
          eps: 0.001
      dense_units: 768
    transition_model:
      hidden_size: 768
      dense_act: torch.nn.SiLU
      layer_norm:
        cls: sheeprl.models.models.LayerNorm
        kw:
          eps: 0.001
    representation_model:
      hidden_size: 768
      dense_act: torch.nn.SiLU
      layer_norm:
        cls: sheeprl.models.models.LayerNorm
        kw:
          eps: 0.001
    observation_model:
      cnn_channels_multiplier: 64
      cnn_act: torch.nn.SiLU
      dense_act: torch.nn.SiLU
      mlp_layers: 4
      cnn_layer_norm:
        cls: sheeprl.models.models.LayerNormChannelLast
        kw:
          eps: 0.001
      mlp_layer_norm:
        cls: sheeprl.models.models.LayerNorm
        kw:
          eps: 0.001
      dense_units: 768
    reward_model:
      dense_act: torch.nn.SiLU
      mlp_layers: 4
      layer_norm:
        cls: sheeprl.models.models.LayerNorm
        kw:
          eps: 0.001
      dense_units: 768
      bins: 255
    discount_model:
      learnable: true
      dense_act: torch.nn.SiLU
      mlp_layers: 4
      layer_norm:
        cls: sheeprl.models.models.LayerNorm
        kw:
          eps: 0.001
      dense_units: 768
  actor:
    optimizer:
      _target_: torch.optim.Adam
      lr: 8.0e-05
      eps: 1.0e-05
      weight_decay: 0
      betas:
      - 0.9
      - 0.999
    cls: sheeprl.algos.dreamer_v3.agent.Actor
    ent_coef: 0.0003
    min_std: 0.1
    max_std: 1.0
    init_std: 2.0
    dense_act: torch.nn.SiLU
    mlp_layers: 4
    layer_norm:
      cls: sheeprl.models.models.LayerNorm
      kw:
        eps: 0.001
    dense_units: 768
    clip_gradients: 100.0
    unimix: 0.01
    action_clip: 1.0
    moments:
      decay: 0.99
      max: 1.0
      percentile:
        low: 0.05
        high: 0.95
  critic:
    optimizer:
      _target_: torch.optim.Adam
      lr: 8.0e-05
      eps: 1.0e-05
      weight_decay: 0
      betas:
      - 0.9
      - 0.999
    dense_act: torch.nn.SiLU
    mlp_layers: 4
    layer_norm:
      cls: sheeprl.models.models.LayerNorm
      kw:
        eps: 0.001
    dense_units: 768
    per_rank_target_network_update_freq: 1
    tau: 0.02
    bins: 255
    clip_gradients: 100.0
  gamma: 0.996996996996997
  lmbda: 0.95
  horizon: 16
  replay_ratio: 2
  learning_starts: 1024
  per_rank_pretrain_steps: 0
  per_rank_sequence_length: 32
  cnn_layer_norm:
    cls: sheeprl.models.models.LayerNormChannelLast
    kw:
      eps: 0.001
  mlp_layer_norm:
    cls: sheeprl.models.models.LayerNorm
    kw:
      eps: 0.001
  dense_units: 768
  mlp_layers: 4
  dense_act: torch.nn.SiLU
  cnn_act: torch.nn.SiLU
  unimix: 0.01
  hafner_initialization: true
  player:
    discrete_size: 32
buffer:
  size: 100000
  memmap: true
  validate_args: false
  from_numpy: false
  checkpoint: false
checkpoint:
  every: 1000
  resume_from: null
  save_last: true
  keep_last: 5
distribution:
  validate_args: false
  type: auto
env:
  id: MeentIndexEfield-v0
  num_envs: 8
  frame_stack: -1
  sync_env: false
  screen_size: 256
  action_repeat: 1
  grayscale: true
  clip_rewards: false
  capture_video: true
  frame_stack_dilation: 1
  max_episode_steps: 512
  reward_as_observation: false
  wrapper:
    _target_: sheeprl.envs.metasurface.get_deflector_env
    id: MeentIndexEfield-v0
fabric:
  _target_: lightning.fabric.Fabric
  devices: 1
  num_nodes: 1
  strategy: auto
  accelerator: cuda
  precision: 32-true
  callbacks:
  - _target_: sheeprl.utils.callback.CheckpointCallback
    keep_last: 5
metric:
  log_every: 100
  disable_timer: false
  log_level: 1
  sync_on_compute: false
  aggregator:
    _target_: sheeprl.utils.metric.MetricAggregator
    raise_on_missing: false
    metrics:
      Rewards/rew_avg:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Game/ep_len_avg:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Loss/world_model_loss:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Loss/value_loss:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Loss/policy_loss:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Loss/observation_loss:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Loss/reward_loss:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Loss/state_loss:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Loss/continue_loss:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      State/kl:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      State/post_entropy:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      State/prior_entropy:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Grads/world_model:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Grads/actor:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Grads/critic:
        _target_: torchmetrics.MeanMetric
        sync_on_compute: false
      Env/max_eff:
        _target_: torchmetrics.MaxMetric
        sync_on_compute: false
  logger:
    _target_: lightning.fabric.loggers.TensorBoardLogger
    name: 2024-05-05_06-34-59_dreamer_v3_MeentIndexEfield-v0_42
    root_dir: logs/runs/dreamer_v3/MeentIndexEfield-v0
    version: null
    default_hp_metric: true
    prefix: ''
    sub_dir: null
model_manager:
  disabled: true
  models:
    world_model:
      model_name: dreamer_v3_MeentIndexEfield-v0_world_model
      description: DreamerV3 World Model used in MeentIndexEfield-v0 Environment
      tags: {}
    actor:
      model_name: dreamer_v3_MeentIndexEfield-v0_actor
      description: DreamerV3 Actor used in MeentIndexEfield-v0 Environment
      tags: {}
    critic:
      model_name: dreamer_v3_MeentIndexEfield-v0_critic
      description: DreamerV3 Critic used in MeentIndexEfield-v0 Environment
      tags: {}
    target_critic:
      model_name: dreamer_v3_MeentIndexEfield-v0_target_critic
      description: DreamerV3 Target Critic used in MeentIndexEfield-v0 Environment
      tags: {}
    moments:
      model_name: dreamer_v3_MeentIndexEfield-v0_moments
      description: DreamerV3 Moments used in MeentIndexEfield-v0 Environment
      tags: {}