Uploading encoder-decoder model

config.json

@@ -2,10 +2,10 @@
     "model_type": "custom_seq2seq",
     "architecture": "Encoder-Decoder",
     "params": {
-        "dump_path": "./trained_models/debug/l94wy15l2y",
+        "dump_path": "./trained_models/debug/sf5083nxj3",
         "exp_name": "debug",
         "save_periodic": 0,
-        "exp_id": "l94wy15l2y",
+        "exp_id": "sf5083nxj3",
         "fp16": true,
         "amp": 2,
         "emb_dim": 640,
@@ -17,7 +17,7 @@
         "share_inout_emb": true,
         "sinusoidal_embeddings": false,
         "max_src_len": 0,
-        "env_base_seed": 39539101,
+        "env_base_seed": 209518556,
         "max_len": 1024,
         "max_output_len": 512,
         "batch_size": 4,
@@ -25,7 +25,7 @@
         "eval_size": 200,
         "optimizer": "adam_inverse_sqrt,warmup_updates=10000,lr=0.0001",
         "clip_grad_norm": 5,
-        "epoch_size": 300,
+        "epoch_size": 300000,
         "max_epoch": 100000,
         "stopping_criterion": "valid_ode_lyapunov_beam_acc,100",
         "validation_metrics": "valid_ode_lyapunov_beam_acc",
@@ -115,7 +115,7 @@
         "is_master": true,
         "multi_node": false,
         "multi_gpu": false,
-        "command": "python train.py --dump_path './trained_models' --n_enc_layers 6 --n_dec_layers 6 --emb_dim 640 --n_heads 20 --batch_size 4 --batch_size_eval 16 --num_workers 1 --max_src_len 0 --max_len 1024 --max_output_len 512 --optimizer 'adam_inverse_sqrt,warmup_updates=10000,lr=0.0001' --epoch_size 300 --max_epoch 100000 --export_data false --local_rank '-1' --eval_size 200 --eval_verbose 0 --beam_eval true --lyap_polynomial_H true --lyap_basic_functions_num true --lyap_pure_polynomial true --lyap_SOS_checker true --lyap_SOS_fwd_gen false --stopping_criterion 'valid_ode_lyapunov_beam_acc,100' --validation_metrics valid_ode_lyapunov_beam_acc --reload_size '-1' --reload_data 'ode_lyapunov,lyap_dataset.cleaned.train,lyap_dataset.cleaned.valid.final,benchmarks/FLyap' --exp_id \"l94wy15l2y\"",
+        "command": "python train.py --dump_path './trained_models' --n_enc_layers 6 --n_dec_layers 6 --emb_dim 640 --n_heads 20 --batch_size 4 --batch_size_eval 16 --num_workers 1 --max_src_len 0 --max_len 1024 --max_output_len 512 --optimizer 'adam_inverse_sqrt,warmup_updates=10000,lr=0.0001' --epoch_size 300000 --max_epoch 100000 --export_data false --local_rank '-1' --eval_size 200 --eval_verbose 0 --beam_eval true --lyap_polynomial_H true --lyap_basic_functions_num true --lyap_pure_polynomial true --lyap_SOS_checker true --lyap_SOS_fwd_gen false --stopping_criterion 'valid_ode_lyapunov_beam_acc,100' --validation_metrics valid_ode_lyapunov_beam_acc --reload_size '-1' --reload_data 'ode_lyapunov,lyap_dataset.cleaned.train,lyap_dataset.cleaned.valid.final,benchmarks/FLyap' --exp_id \"sf5083nxj3\"",
         "n_words": 1052,
         "eos_index": 0,
         "pad_index": 1

decoder_mask.pth

@@ -1,3 +1,3 @@
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+oid sha256:dc31f5bcba59ae03f36cd9d9938a2322ebdeca464efd7e85d7c1b2c57013f2fc
 size 170822057

encoder_mask.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:77f7809841682e921ed6f29e8127c05afb19c30dbafeb32da2ef3fa147fa1bc2
+oid sha256:aa2c95628fd4843e1323f6d7fd8b628bb22f9471c971f29ae23402565885c67b
 size 131382770