change model names

alakazam/ckpts/config.txt

@@ -8,13 +8,6 @@ import amago.nets.transformer as amago5
 # ==============================================================================
 # None.
 
-# Parameters for ClippedSlidingSinkAttention:
-# ==============================================================================
-ClippedSlidingSinkAttention.logit_clip = 50
-ClippedSlidingSinkAttention.sink_bias = 0.0
-ClippedSlidingSinkAttention.sink_size = 5
-ClippedSlidingSinkAttention.window_size = 96
-
 # Parameters for Discrete:
 # ==============================================================================
 Discrete.clip_prob_high = 0.99
@@ -30,6 +23,10 @@ Experiment.stagger_traj_file_lengths = True
 Experiment.traj_save_len = 10000000000.0
 Experiment.wandb_group_name = None
 
+# Parameters for FlashAttention:
+# ==============================================================================
+FlashAttention.window_size = (96, 0)
+
 # Parameters for MetamonAMAGOExperiment:
 # ==============================================================================
 MetamonAMAGOExperiment.agent_type = @agent.MultiTaskAgent
@@ -37,32 +34,33 @@ MetamonAMAGOExperiment.critic_loss_weight = 13.5
 MetamonAMAGOExperiment.grad_clip = 1.5
 MetamonAMAGOExperiment.l2_coeff = 0.0001
 MetamonAMAGOExperiment.learning_rate = 0.000125
-MetamonAMAGOExperiment.lr_warmup_steps = 1500
-MetamonAMAGOExperiment.max_seq_len = 200
+MetamonAMAGOExperiment.lr_warmup_steps = 2000
+MetamonAMAGOExperiment.max_seq_len = 128
 MetamonAMAGOExperiment.traj_encoder_type = @traj_encoders.TformerTrajEncoder
-MetamonAMAGOExperiment.tstep_encoder_type = @MetamonTstepEncoder
+MetamonAMAGOExperiment.tstep_encoder_type = @MetamonPerceiverTstepEncoder
 
 # Parameters for MetamonMaskedResidualActor:
 # ==============================================================================
 MetamonMaskedResidualActor.activation = 'leaky_relu'
 MetamonMaskedResidualActor.continuous_dist_type = None
 MetamonMaskedResidualActor.dropout_p = 0.0
-MetamonMaskedResidualActor.feature_dim = 256
+MetamonMaskedResidualActor.feature_dim = 450
 MetamonMaskedResidualActor.mask_illegal_actions = True
 MetamonMaskedResidualActor.normalization = 'layer'
 MetamonMaskedResidualActor.residual_blocks = 2
 MetamonMaskedResidualActor.residual_ff_dim = 512
 
-# Parameters for MetamonTstepEncoder:
+# Parameters for MetamonPerceiverTstepEncoder:
 # ==============================================================================
-MetamonTstepEncoder.d_model = 108
-MetamonTstepEncoder.dropout = 0.05
-MetamonTstepEncoder.extra_emb_dim = 18
-MetamonTstepEncoder.n_heads = 6
-MetamonTstepEncoder.n_layers = 4
-MetamonTstepEncoder.numerical_tokens = 6
-MetamonTstepEncoder.scratch_tokens = 6
-MetamonTstepEncoder.token_mask_aug = False
+MetamonPerceiverTstepEncoder.d_model = 108
+MetamonPerceiverTstepEncoder.dropout = 0.05
+MetamonPerceiverTstepEncoder.extra_emb_dim = 18
+MetamonPerceiverTstepEncoder.latent_tokens = 8
+MetamonPerceiverTstepEncoder.max_tokens_per_turn = 128
+MetamonPerceiverTstepEncoder.n_heads = 6
+MetamonPerceiverTstepEncoder.n_layers = 8
+MetamonPerceiverTstepEncoder.numerical_tokens = 6
+MetamonPerceiverTstepEncoder.token_mask_aug = False
 
 # Parameters for Multigammas:
 # ==============================================================================
@@ -81,7 +79,7 @@ MultiTaskAgent.num_actions_for_value_in_critic_loss = 4
 MultiTaskAgent.num_critics = 6
 MultiTaskAgent.num_critics_td = 2
 MultiTaskAgent.offline_coeff = 1.0
-MultiTaskAgent.online_coeff = 0.1
+MultiTaskAgent.online_coeff = 0.2
 MultiTaskAgent.pass_obs_keys_to_actor = ['illegal_actions']
 MultiTaskAgent.popart = True
 MultiTaskAgent.reward_multiplier = 10.0
@@ -100,6 +98,10 @@ NCriticsTwoHot.n_layers = 2
 NCriticsTwoHot.output_bins = 96
 NCriticsTwoHot.use_symlog = False
 
+# Parameters for PerceiverTurnEmbedding:
+# ==============================================================================
+# None.
+
 # Parameters for PopArtLayer:
 # ==============================================================================
 PopArtLayer.beta = 0.0005
@@ -109,10 +111,15 @@ PopArtLayer.init_nu = 100.0
 # ==============================================================================
 # None.
 
+# Parameters for SigmaReparam:
+# ==============================================================================
+SigmaReparam.bias = True
+SigmaReparam.fast_init = False
+
 # Parameters for TformerTrajEncoder:
 # ==============================================================================
 TformerTrajEncoder.activation = 'leaky_relu'
-TformerTrajEncoder.attention_type = @transformer.ClippedSlidingSinkAttention
+TformerTrajEncoder.attention_type = @transformer.FlashAttention
 TformerTrajEncoder.d_ff = 3072
 TformerTrajEncoder.d_model = 768
 TformerTrajEncoder.dropout_attn = 0.0
@@ -121,12 +128,8 @@ TformerTrajEncoder.dropout_ff = 0.05
 TformerTrajEncoder.dropout_qkv = 0.0
 TformerTrajEncoder.head_scaling = True
 TformerTrajEncoder.n_heads = 12
-TformerTrajEncoder.n_layers = 6
+TformerTrajEncoder.n_layers = 8
 TformerTrajEncoder.norm = 'layer'
 TformerTrajEncoder.normformer_norms = True
 TformerTrajEncoder.pos_emb = 'fixed'
-TformerTrajEncoder.sigma_reparam = False
-
-# Parameters for TransformerTurnEmbedding:
-# ==============================================================================
-# None.
+TformerTrajEncoder.sigma_reparam = True

alakazam/ckpts/latest/policy.pt

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alakazam/ckpts/policy_weights/policy_epoch_8.pt

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{alakazam_patched → kadabra2}/ckpts/config.txt

@@ -8,6 +8,13 @@ import amago.nets.transformer as amago5
 # ==============================================================================
 # None.
 
+# Parameters for ClippedSlidingSinkAttention:
+# ==============================================================================
+ClippedSlidingSinkAttention.logit_clip = 50
+ClippedSlidingSinkAttention.sink_bias = 0.0
+ClippedSlidingSinkAttention.sink_size = 5
+ClippedSlidingSinkAttention.window_size = 96
+
 # Parameters for Discrete:
 # ==============================================================================
 Discrete.clip_prob_high = 0.99
@@ -23,10 +30,6 @@ Experiment.stagger_traj_file_lengths = True
 Experiment.traj_save_len = 10000000000.0
 Experiment.wandb_group_name = None
 
-# Parameters for FlashAttention:
-# ==============================================================================
-FlashAttention.window_size = (96, 0)
-
 # Parameters for MetamonAMAGOExperiment:
 # ==============================================================================
 MetamonAMAGOExperiment.agent_type = @agent.MultiTaskAgent
@@ -34,33 +37,32 @@ MetamonAMAGOExperiment.critic_loss_weight = 13.5
 MetamonAMAGOExperiment.grad_clip = 1.5
 MetamonAMAGOExperiment.l2_coeff = 0.0001
 MetamonAMAGOExperiment.learning_rate = 0.000125
-MetamonAMAGOExperiment.lr_warmup_steps = 2000
-MetamonAMAGOExperiment.max_seq_len = 128
+MetamonAMAGOExperiment.lr_warmup_steps = 1500
+MetamonAMAGOExperiment.max_seq_len = 200
 MetamonAMAGOExperiment.traj_encoder_type = @traj_encoders.TformerTrajEncoder
-MetamonAMAGOExperiment.tstep_encoder_type = @MetamonPerceiverTstepEncoder
+MetamonAMAGOExperiment.tstep_encoder_type = @MetamonTstepEncoder
 
 # Parameters for MetamonMaskedResidualActor:
 # ==============================================================================
 MetamonMaskedResidualActor.activation = 'leaky_relu'
 MetamonMaskedResidualActor.continuous_dist_type = None
 MetamonMaskedResidualActor.dropout_p = 0.0
-MetamonMaskedResidualActor.feature_dim = 450
+MetamonMaskedResidualActor.feature_dim = 256
 MetamonMaskedResidualActor.mask_illegal_actions = True
 MetamonMaskedResidualActor.normalization = 'layer'
 MetamonMaskedResidualActor.residual_blocks = 2
 MetamonMaskedResidualActor.residual_ff_dim = 512
 
-# Parameters for MetamonPerceiverTstepEncoder:
+# Parameters for MetamonTstepEncoder:
 # ==============================================================================
-MetamonPerceiverTstepEncoder.d_model = 108
-MetamonPerceiverTstepEncoder.dropout = 0.05
-MetamonPerceiverTstepEncoder.extra_emb_dim = 18
-MetamonPerceiverTstepEncoder.latent_tokens = 8
-MetamonPerceiverTstepEncoder.max_tokens_per_turn = 128
-MetamonPerceiverTstepEncoder.n_heads = 6
-MetamonPerceiverTstepEncoder.n_layers = 8
-MetamonPerceiverTstepEncoder.numerical_tokens = 6
-MetamonPerceiverTstepEncoder.token_mask_aug = False
+MetamonTstepEncoder.d_model = 108
+MetamonTstepEncoder.dropout = 0.05
+MetamonTstepEncoder.extra_emb_dim = 18
+MetamonTstepEncoder.n_heads = 6
+MetamonTstepEncoder.n_layers = 4
+MetamonTstepEncoder.numerical_tokens = 6
+MetamonTstepEncoder.scratch_tokens = 6
+MetamonTstepEncoder.token_mask_aug = False
 
 # Parameters for Multigammas:
 # ==============================================================================
@@ -79,7 +81,7 @@ MultiTaskAgent.num_actions_for_value_in_critic_loss = 4
 MultiTaskAgent.num_critics = 6
 MultiTaskAgent.num_critics_td = 2
 MultiTaskAgent.offline_coeff = 1.0
-MultiTaskAgent.online_coeff = 0.2
+MultiTaskAgent.online_coeff = 0.1
 MultiTaskAgent.pass_obs_keys_to_actor = ['illegal_actions']
 MultiTaskAgent.popart = True
 MultiTaskAgent.reward_multiplier = 10.0
@@ -98,10 +100,6 @@ NCriticsTwoHot.n_layers = 2
 NCriticsTwoHot.output_bins = 96
 NCriticsTwoHot.use_symlog = False
 
-# Parameters for PerceiverTurnEmbedding:
-# ==============================================================================
-# None.
-
 # Parameters for PopArtLayer:
 # ==============================================================================
 PopArtLayer.beta = 0.0005
@@ -111,15 +109,10 @@ PopArtLayer.init_nu = 100.0
 # ==============================================================================
 # None.
 
-# Parameters for SigmaReparam:
-# ==============================================================================
-SigmaReparam.bias = True
-SigmaReparam.fast_init = False
-
 # Parameters for TformerTrajEncoder:
 # ==============================================================================
 TformerTrajEncoder.activation = 'leaky_relu'
-TformerTrajEncoder.attention_type = @transformer.FlashAttention
+TformerTrajEncoder.attention_type = @transformer.ClippedSlidingSinkAttention
 TformerTrajEncoder.d_ff = 3072
 TformerTrajEncoder.d_model = 768
 TformerTrajEncoder.dropout_attn = 0.0
@@ -128,8 +121,12 @@ TformerTrajEncoder.dropout_ff = 0.05
 TformerTrajEncoder.dropout_qkv = 0.0
 TformerTrajEncoder.head_scaling = True
 TformerTrajEncoder.n_heads = 12
-TformerTrajEncoder.n_layers = 8
+TformerTrajEncoder.n_layers = 6
 TformerTrajEncoder.norm = 'layer'
 TformerTrajEncoder.normformer_norms = True
 TformerTrajEncoder.pos_emb = 'fixed'
-TformerTrajEncoder.sigma_reparam = True
+TformerTrajEncoder.sigma_reparam = False
+
+# Parameters for TransformerTurnEmbedding:
+# ==============================================================================
+# None.

{alakazam_patched → kadabra2}/ckpts/latest/policy.pt

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{alakazam_patched → kadabra2}/ckpts/policy_weights/policy_epoch_0.pt

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{alakazam_patched → kadabra2}/ckpts/policy_weights/policy_epoch_10.pt

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{alakazam_patched → kadabra2}/ckpts/policy_weights/policy_epoch_12.pt

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