stderr.log

+ deepspeed --master_port 15868 --module safe_rlhf.finetune --train_datasets inverse-json::/home/hansirui_1st/jiayi/resist/imdb_data/train/pos/10000/train.json --model_name_or_path /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T --max_length 512 --trust_remote_code True --epochs 1 --per_device_train_batch_size 1 --per_device_eval_batch_size 4 --gradient_accumulation_steps 8 --gradient_checkpointing --learning_rate 1e-5 --lr_warmup_ratio 0 --weight_decay 0.0 --lr_scheduler_type constant --weight_decay 0.0 --seed 42 --output_dir /aifs4su/hansirui_1st/jiayi/setting3-imdb/tinyllama-2T/tinyllama-2T-s3-Q1-10000 --log_type wandb --log_run_name imdb-tinyllama-2T-s3-Q1-10000 --log_project Inverse_Alignment_IMDb --zero_stage 3 --offload none --bf16 True --tf32 True --save_16bit
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
nvcc warning : incompatible redefinition for option 'compiler-bindir', the last value of this option was used
[rank1]:[W527 15:04:10.502429851 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
[rank3]:[W527 15:04:10.512797257 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
[rank6]:[W527 15:04:10.515745120 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
[rank7]:[W527 15:04:10.516718168 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
[rank4]:[W527 15:04:10.525740539 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
[rank5]:[W527 15:04:10.525795333 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
[rank2]:[W527 15:04:10.532490862 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
[rank0]:[W527 15:04:10.561743536 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id.
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/config.json
Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5632,
  "max_position_embeddings": 2048,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 22,
  "num_key_value_heads": 4,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.52.1",
  "use_cache": true,
  "vocab_size": 32000
}

loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

loading weights file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/model.safetensors
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2
}

All model checkpoint weights were used when initializing LlamaForCausalLM.

All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
All model checkpoint weights were used when initializing LlamaForCausalLM.

All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
All model checkpoint weights were used when initializing LlamaForCausalLM.

All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
All model checkpoint weights were used when initializing LlamaForCausalLM.

All model checkpoint weights were used when initializing LlamaForCausalLM.

All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
All model checkpoint weights were used when initializing LlamaForCausalLM.

All model checkpoint weights were used when initializing LlamaForCausalLM.

All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
All model checkpoint weights were used when initializing LlamaForCausalLM.

All the weights of LlamaForCausalLM were initialized from the model checkpoint at /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T.
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
loading configuration file /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T/generation_config.json
Generate config GenerationConfig {
  "bos_token_id": 1,
  "eos_token_id": 2,
  "max_length": 2048,
  "pad_token_id": 0
}

loading file tokenizer.model
loading file tokenizer.json
loading file added_tokens.json
loading file special_tokens_map.json
loading file tokenizer_config.json
loading file chat_template.jinja
You are resizing the embedding layer without providing a `pad_to_multiple_of` parameter. This means that the new embedding dimension will be 32001. This might induce some performance reduction as *Tensor Cores* will not be available. For more details about this, or help on choosing the correct value for resizing, refer to this guide: https://docs.nvidia.com/deeplearning/performance/dl-performance-matrix-multiplication/index.html#requirements-tc
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Using /home/hansirui_1st/.cache/torch_extensions/py311_cu124 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/hansirui_1st/.cache/torch_extensions/py311_cu124/fused_adam/build.ninja...
/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/torch/utils/cpp_extension.py:2059: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
  warnings.warn(
Building extension module fused_adam...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
Loading extension module fused_adam...
Loading extension module fused_adam...Loading extension module fused_adam...Loading extension module fused_adam...


Loading extension module fused_adam...
Loading extension module fused_adam...
Loading extension module fused_adam...
Loading extension module fused_adam...
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
wandb: Currently logged in as: xtom to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.19.11
wandb: Run data is saved locally in /aifs4su/hansirui_1st/jiayi/setting3-imdb/tinyllama-2T/tinyllama-2T-s3-Q1-10000/wandb/run-20250527_150427-oxeq99yh
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run imdb-tinyllama-2T-s3-Q1-10000
wandb: ⭐️ View project at https://wandb.ai/xtom/Inverse_Alignment_IMDb
wandb: 🚀 View run at https://wandb.ai/xtom/Inverse_Alignment_IMDb/runs/oxeq99yh

Training 1/1 epoch:   0%|          | 0/1250 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.

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Training 1/1 epoch (loss 2.8421):   4%|▍         | 47/1250 [01:15<25:54,  1.29s/it]
Training 1/1 epoch (loss 2.8421):   4%|▍         | 48/1250 [01:15<25:43,  1.28s/it]
Training 1/1 epoch (loss 2.6627):   4%|▍         | 48/1250 [01:17<25:43,  1.28s/it]
Training 1/1 epoch (loss 2.6627):   4%|▍         | 49/1250 [01:17<28:03,  1.40s/it]
Training 1/1 epoch (loss 2.8325):   4%|▍         | 49/1250 [01:19<28:03,  1.40s/it]
Training 1/1 epoch (loss 2.8325):   4%|▍         | 50/1250 [01:19<31:27,  1.57s/it]
Training 1/1 epoch (loss 2.7099):   4%|▍         | 50/1250 [01:20<31:27,  1.57s/it]
Training 1/1 epoch (loss 2.7099):   4%|▍         | 51/1250 [01:20<26:14,  1.31s/it]
Training 1/1 epoch (loss 2.7463):   4%|▍         | 51/1250 [01:22<26:14,  1.31s/it]
Training 1/1 epoch (loss 2.7463):   4%|▍         | 52/1250 [01:22<32:35,  1.63s/it]
Training 1/1 epoch (loss 2.7927):   4%|▍         | 52/1250 [01:24<32:35,  1.63s/it]
Training 1/1 epoch (loss 2.7927):   4%|▍         | 53/1250 [01:24<34:11,  1.71s/it]
Training 1/1 epoch (loss 2.6439):   4%|▍         | 53/1250 [01:24<34:11,  1.71s/it]
Training 1/1 epoch (loss 2.6439):   4%|▍         | 54/1250 [01:24<26:40,  1.34s/it]
Training 1/1 epoch (loss 2.6755):   4%|▍         | 54/1250 [01:26<26:40,  1.34s/it]
Training 1/1 epoch (loss 2.6755):   4%|▍         | 55/1250 [01:26<29:49,  1.50s/it]
Training 1/1 epoch (loss 2.6845):   4%|▍         | 55/1250 [01:28<29:49,  1.50s/it]
Training 1/1 epoch (loss 2.6845):   4%|▍         | 56/1250 [01:28<30:07,  1.51s/it]
Training 1/1 epoch (loss 2.6321):   4%|▍         | 56/1250 [01:29<30:07,  1.51s/it]
Training 1/1 epoch (loss 2.6321):   5%|▍         | 57/1250 [01:29<25:21,  1.28s/it]
Training 1/1 epoch (loss 2.5127):   5%|▍         | 57/1250 [01:31<25:21,  1.28s/it]
Training 1/1 epoch (loss 2.5127):   5%|▍         | 58/1250 [01:31<29:53,  1.50s/it]
Training 1/1 epoch (loss 2.5811):   5%|▍         | 58/1250 [01:32<29:53,  1.50s/it]
Training 1/1 epoch (loss 2.5811):   5%|▍         | 59/1250 [01:32<28:19,  1.43s/it]
Training 1/1 epoch (loss 2.7577):   5%|▍         | 59/1250 [01:33<28:19,  1.43s/it]
Training 1/1 epoch (loss 2.7577):   5%|▍         | 60/1250 [01:33<24:35,  1.24s/it]
Training 1/1 epoch (loss 2.6248):   5%|▍         | 60/1250 [01:35<24:35,  1.24s/it]
Training 1/1 epoch (loss 2.6248):   5%|▍         | 61/1250 [01:35<28:52,  1.46s/it]
Training 1/1 epoch (loss 2.7175):   5%|▍         | 61/1250 [01:36<28:52,  1.46s/it]
Training 1/1 epoch (loss 2.7175):   5%|▍         | 62/1250 [01:36<26:39,  1.35s/it]
Training 1/1 epoch (loss 2.8555):   5%|▍         | 62/1250 [01:37<26:39,  1.35s/it]
Training 1/1 epoch (loss 2.8555):   5%|▌         | 63/1250 [01:37<28:56,  1.46s/it]
Training 1/1 epoch (loss 2.9321):   5%|▌         | 63/1250 [01:39<28:56,  1.46s/it]
Training 1/1 epoch (loss 2.9321):   5%|▌         | 64/1250 [01:39<29:43,  1.50s/it]
Training 1/1 epoch (loss 2.7765):   5%|▌         | 64/1250 [01:40<29:43,  1.50s/it]
Training 1/1 epoch (loss 2.7765):   5%|▌         | 65/1250 [01:40<25:17,  1.28s/it]
Training 1/1 epoch (loss 2.6755):   5%|▌         | 65/1250 [01:41<25:17,  1.28s/it]
Training 1/1 epoch (loss 2.6755):   5%|▌         | 66/1250 [01:41<24:48,  1.26s/it]
Training 1/1 epoch (loss 2.7054):   5%|▌         | 66/1250 [01:43<24:48,  1.26s/it]
Training 1/1 epoch (loss 2.7054):   5%|▌         | 67/1250 [01:43<27:53,  1.41s/it]
Training 1/1 epoch (loss 2.8186):   5%|▌         | 67/1250 [01:43<27:53,  1.41s/it]
Training 1/1 epoch (loss 2.8186):   5%|▌         | 68/1250 [01:43<22:54,  1.16s/it]
Training 1/1 epoch (loss 2.6538):   5%|▌         | 68/1250 [01:46<22:54,  1.16s/it]
Training 1/1 epoch (loss 2.6538):   6%|▌         | 69/1250 [01:46<29:12,  1.48s/it]
Training 1/1 epoch (loss 2.8031):   6%|▌         | 69/1250 [01:48<29:12,  1.48s/it]
Training 1/1 epoch (loss 2.8031):   6%|▌         | 70/1250 [01:48<34:58,  1.78s/it]
Training 1/1 epoch (loss 2.7030):   6%|▌         | 70/1250 [01:48<34:58,  1.78s/it]
Training 1/1 epoch (loss 2.7030):   6%|▌         | 71/1250 [01:48<26:52,  1.37s/it]
Training 1/1 epoch (loss 2.6311):   6%|▌         | 71/1250 [01:50<26:52,  1.37s/it]
Training 1/1 epoch (loss 2.6311):   6%|▌         | 72/1250 [01:50<29:24,  1.50s/it]
Training 1/1 epoch (loss 2.8330):   6%|▌         | 72/1250 [01:53<29:24,  1.50s/it]
Training 1/1 epoch (loss 2.8330):   6%|▌         | 73/1250 [01:53<34:46,  1.77s/it]
Training 1/1 epoch (loss 2.7869):   6%|▌         | 73/1250 [01:53<34:46,  1.77s/it]
Training 1/1 epoch (loss 2.7869):   6%|▌         | 74/1250 [01:53<27:15,  1.39s/it]
Training 1/1 epoch (loss 2.6565):   6%|▌         | 74/1250 [01:55<27:15,  1.39s/it]
Training 1/1 epoch (loss 2.6565):   6%|▌         | 75/1250 [01:55<28:36,  1.46s/it]
Training 1/1 epoch (loss 2.7496):   6%|▌         | 75/1250 [01:57<28:36,  1.46s/it]
Training 1/1 epoch (loss 2.7496):   6%|▌         | 76/1250 [01:57<30:20,  1.55s/it]
Training 1/1 epoch (loss 2.6737):   6%|▌         | 76/1250 [01:57<30:20,  1.55s/it]
Training 1/1 epoch (loss 2.6737):   6%|▌         | 77/1250 [01:57<25:48,  1.32s/it]
Training 1/1 epoch (loss 2.8733):   6%|▌         | 77/1250 [01:59<25:48,  1.32s/it]
Training 1/1 epoch (loss 2.8733):   6%|▌         | 78/1250 [01:59<26:05,  1.34s/it]
Training 1/1 epoch (loss 2.7228):   6%|▌         | 78/1250 [02:00<26:05,  1.34s/it]
Training 1/1 epoch (loss 2.7228):   6%|▋         | 79/1250 [02:00<25:30,  1.31s/it]
Training 1/1 epoch (loss 2.7072):   6%|▋         | 79/1250 [02:01<25:30,  1.31s/it]
Training 1/1 epoch (loss 2.7072):   6%|▋         | 80/1250 [02:01<23:31,  1.21s/it]
Training 1/1 epoch (loss 2.8044):   6%|▋         | 80/1250 [02:03<23:31,  1.21s/it]
Training 1/1 epoch (loss 2.8044):   6%|▋         | 81/1250 [02:03<28:30,  1.46s/it]
Training 1/1 epoch (loss 2.8267):   6%|▋         | 81/1250 [02:04<28:30,  1.46s/it]
Training 1/1 epoch (loss 2.8267):   7%|▋         | 82/1250 [02:04<27:58,  1.44s/it]
Training 1/1 epoch (loss 2.8648):   7%|▋         | 82/1250 [02:06<27:58,  1.44s/it]
Training 1/1 epoch (loss 2.8648):   7%|▋         | 83/1250 [02:06<28:44,  1.48s/it]
Training 1/1 epoch (loss 2.7378):   7%|▋         | 83/1250 [02:08<28:44,  1.48s/it]
Training 1/1 epoch (loss 2.7378):   7%|▋         | 84/1250 [02:08<29:34,  1.52s/it]
Training 1/1 epoch (loss 2.6156):   7%|▋         | 84/1250 [02:08<29:34,  1.52s/it]
Training 1/1 epoch (loss 2.6156):   7%|▋         | 85/1250 [02:08<23:36,  1.22s/it]
Training 1/1 epoch (loss 2.6394):   7%|▋         | 85/1250 [02:10<23:36,  1.22s/it]
Training 1/1 epoch (loss 2.6394):   7%|▋         | 86/1250 [02:10<26:24,  1.36s/it]
Training 1/1 epoch (loss 2.8572):   7%|▋         | 86/1250 [02:12<26:24,  1.36s/it]
Training 1/1 epoch (loss 2.8572):   7%|▋         | 87/1250 [02:12<29:37,  1.53s/it]
Training 1/1 epoch (loss 2.6215):   7%|▋         | 87/1250 [02:12<29:37,  1.53s/it]
Training 1/1 epoch (loss 2.6215):   7%|▋         | 88/1250 [02:12<24:22,  1.26s/it]
Training 1/1 epoch (loss 2.7461):   7%|▋         | 88/1250 [02:15<24:22,  1.26s/it]
Training 1/1 epoch (loss 2.7461):   7%|▋         | 89/1250 [02:15<29:46,  1.54s/it]
Training 1/1 epoch (loss 2.9440):   7%|▋         | 89/1250 [02:16<29:46,  1.54s/it]
Training 1/1 epoch (loss 2.9440):   7%|▋         | 90/1250 [02:16<28:16,  1.46s/it]
Training 1/1 epoch (loss 2.5917):   7%|▋         | 90/1250 [02:17<28:16,  1.46s/it]
Training 1/1 epoch (loss 2.5917):   7%|▋         | 91/1250 [02:17<27:16,  1.41s/it]
Training 1/1 epoch (loss 2.6900):   7%|▋         | 91/1250 [02:18<27:16,  1.41s/it]
Training 1/1 epoch (loss 2.6900):   7%|▋         | 92/1250 [02:18<24:42,  1.28s/it]
Training 1/1 epoch (loss 2.6506):   7%|▋         | 92/1250 [02:19<24:42,  1.28s/it]
Training 1/1 epoch (loss 2.6506):   7%|▋         | 93/1250 [02:19<25:03,  1.30s/it]
Training 1/1 epoch (loss 2.6501):   7%|▋         | 93/1250 [02:21<25:03,  1.30s/it]
Training 1/1 epoch (loss 2.6501):   8%|▊         | 94/1250 [02:21<23:47,  1.24s/it]
Training 1/1 epoch (loss 2.7155):   8%|▊         | 94/1250 [02:22<23:47,  1.24s/it]
Training 1/1 epoch (loss 2.7155):   8%|▊         | 95/1250 [02:22<26:28,  1.37s/it]
Training 1/1 epoch (loss 2.7344):   8%|▊         | 95/1250 [02:24<26:28,  1.37s/it]
Training 1/1 epoch (loss 2.7344):   8%|▊         | 96/1250 [02:24<26:04,  1.36s/it]
Training 1/1 epoch (loss 2.6499):   8%|▊         | 96/1250 [02:24<26:04,  1.36s/it]
Training 1/1 epoch (loss 2.6499):   8%|▊         | 97/1250 [02:24<22:45,  1.18s/it]
Training 1/1 epoch (loss 2.6636):   8%|▊         | 97/1250 [02:26<22:45,  1.18s/it]
Training 1/1 epoch (loss 2.6636):   8%|▊         | 98/1250 [02:26<26:24,  1.38s/it]
Training 1/1 epoch (loss 2.7437):   8%|▊         | 98/1250 [02:27<26:24,  1.38s/it]
Training 1/1 epoch (loss 2.7437):   8%|▊         | 99/1250 [02:27<24:16,  1.27s/it]
Training 1/1 epoch (loss 2.9754):   8%|▊         | 99/1250 [02:30<24:16,  1.27s/it]
Training 1/1 epoch (loss 2.9754):   8%|▊         | 100/1250 [02:30<30:42,  1.60s/it]
Training 1/1 epoch (loss 2.7140):   8%|▊         | 100/1250 [02:32<30:42,  1.60s/it]
Training 1/1 epoch (loss 2.7140):   8%|▊         | 101/1250 [02:32<33:56,  1.77s/it]
Training 1/1 epoch (loss 2.6409):   8%|▊         | 101/1250 [02:33<33:56,  1.77s/it]
Training 1/1 epoch (loss 2.6409):   8%|▊         | 102/1250 [02:33<29:50,  1.56s/it]
Training 1/1 epoch (loss 2.7096):   8%|▊         | 102/1250 [02:35<29:50,  1.56s/it]
Training 1/1 epoch (loss 2.7096):   8%|▊         | 103/1250 [02:35<31:08,  1.63s/it]
Training 1/1 epoch (loss 2.8445):   8%|▊         | 103/1250 [02:36<31:08,  1.63s/it]
Training 1/1 epoch (loss 2.8445):   8%|▊         | 104/1250 [02:36<30:03,  1.57s/it]
Training 1/1 epoch (loss 2.6796):   8%|▊         | 104/1250 [02:37<30:03,  1.57s/it]
Training 1/1 epoch (loss 2.6796):   8%|▊         | 105/1250 [02:37<29:26,  1.54s/it]
Training 1/1 epoch (loss 2.6712):   8%|▊         | 105/1250 [02:39<29:26,  1.54s/it]
Training 1/1 epoch (loss 2.6712):   8%|▊         | 106/1250 [02:39<31:14,  1.64s/it]
Training 1/1 epoch (loss 2.6820):   8%|▊         | 106/1250 [02:40<31:14,  1.64s/it]
Training 1/1 epoch (loss 2.6820):   9%|▊         | 107/1250 [02:40<27:09,  1.43s/it]
Training 1/1 epoch (loss 2.9033):   9%|▊         | 107/1250 [02:42<27:09,  1.43s/it]
Training 1/1 epoch (loss 2.9033):   9%|▊         | 108/1250 [02:42<29:42,  1.56s/it]
Training 1/1 epoch (loss 2.8078):   9%|▊         | 108/1250 [02:44<29:42,  1.56s/it]
Training 1/1 epoch (loss 2.8078):   9%|▊         | 109/1250 [02:44<30:46,  1.62s/it]
Training 1/1 epoch (loss 2.7253):   9%|▊         | 109/1250 [02:44<30:46,  1.62s/it]
Training 1/1 epoch (loss 2.7253):   9%|▉         | 110/1250 [02:44<24:49,  1.31s/it]
Training 1/1 epoch (loss 2.7917):   9%|▉         | 110/1250 [02:46<24:49,  1.31s/it]
Training 1/1 epoch (loss 2.7917):   9%|▉         | 111/1250 [02:46<25:07,  1.32s/it]
Training 1/1 epoch (loss 2.6320):   9%|▉         | 111/1250 [02:47<25:07,  1.32s/it]
Training 1/1 epoch (loss 2.6320):   9%|▉         | 112/1250 [02:47<25:34,  1.35s/it]
Training 1/1 epoch (loss 2.5869):   9%|▉         | 112/1250 [02:48<25:34,  1.35s/it]
Training 1/1 epoch (loss 2.5869):   9%|▉         | 113/1250 [02:48<20:54,  1.10s/it]
Training 1/1 epoch (loss 2.5663):   9%|▉         | 113/1250 [02:50<20:54,  1.10s/it]
Training 1/1 epoch (loss 2.5663):   9%|▉         | 114/1250 [02:50<25:35,  1.35s/it]
Training 1/1 epoch (loss 2.6244):   9%|▉         | 114/1250 [02:51<25:35,  1.35s/it]
Training 1/1 epoch (loss 2.6244):   9%|▉         | 115/1250 [02:51<26:31,  1.40s/it]
Training 1/1 epoch (loss 2.7133):   9%|▉         | 115/1250 [02:52<26:31,  1.40s/it]
Training 1/1 epoch (loss 2.7133):   9%|▉         | 116/1250 [02:52<22:50,  1.21s/it]
Training 1/1 epoch (loss 2.6198):   9%|▉         | 116/1250 [02:54<22:50,  1.21s/it]
Training 1/1 epoch (loss 2.6198):   9%|▉         | 117/1250 [02:54<29:43,  1.57s/it]
Training 1/1 epoch (loss 2.6369):   9%|▉         | 117/1250 [02:55<29:43,  1.57s/it]
Training 1/1 epoch (loss 2.6369):   9%|▉         | 118/1250 [02:55<25:20,  1.34s/it]
Training 1/1 epoch (loss 2.6812):   9%|▉         | 118/1250 [02:57<25:20,  1.34s/it]
Training 1/1 epoch (loss 2.6812):  10%|▉         | 119/1250 [02:57<26:00,  1.38s/it]
Training 1/1 epoch (loss 2.8294):  10%|▉         | 119/1250 [02:58<26:00,  1.38s/it]
Training 1/1 epoch (loss 2.8294):  10%|▉         | 120/1250 [02:58<26:28,  1.41s/it]
Training 1/1 epoch (loss 2.7543):  10%|▉         | 120/1250 [02:59<26:28,  1.41s/it]
Training 1/1 epoch (loss 2.7543):  10%|▉         | 121/1250 [02:59<21:25,  1.14s/it]
Training 1/1 epoch (loss 2.6154):  10%|▉         | 121/1250 [03:00<21:25,  1.14s/it]
Training 1/1 epoch (loss 2.6154):  10%|▉         | 122/1250 [03:00<24:15,  1.29s/it]
Training 1/1 epoch (loss 2.7420):  10%|▉         | 122/1250 [03:02<24:15,  1.29s/it]
Training 1/1 epoch (loss 2.7420):  10%|▉         | 123/1250 [03:02<25:36,  1.36s/it]
Training 1/1 epoch (loss 2.5794):  10%|▉         | 123/1250 [03:03<25:36,  1.36s/it]
Training 1/1 epoch (loss 2.5794):  10%|▉         | 124/1250 [03:03<22:33,  1.20s/it]
Training 1/1 epoch (loss 2.5107):  10%|▉         | 124/1250 [03:04<22:33,  1.20s/it]
Training 1/1 epoch (loss 2.5107):  10%|█         | 125/1250 [03:04<24:36,  1.31s/it]
Training 1/1 epoch (loss 2.7556):  10%|█         | 125/1250 [03:06<24:36,  1.31s/it]
Training 1/1 epoch (loss 2.7556):  10%|█         | 126/1250 [03:06<24:31,  1.31s/it]
Training 1/1 epoch (loss 2.5796):  10%|█         | 126/1250 [03:07<24:31,  1.31s/it]
Training 1/1 epoch (loss 2.5796):  10%|█         | 127/1250 [03:07<24:27,  1.31s/it]
Training 1/1 epoch (loss 2.7560):  10%|█         | 127/1250 [03:08<24:27,  1.31s/it]
Training 1/1 epoch (loss 2.7560):  10%|█         | 128/1250 [03:08<25:49,  1.38s/it]
Training 1/1 epoch (loss 2.6411):  10%|█         | 128/1250 [03:09<25:49,  1.38s/it]
Training 1/1 epoch (loss 2.6411):  10%|█         | 129/1250 [03:09<23:33,  1.26s/it]
Training 1/1 epoch (loss 2.6505):  10%|█         | 129/1250 [03:11<23:33,  1.26s/it]
Training 1/1 epoch (loss 2.6505):  10%|█         | 130/1250 [03:11<26:13,  1.40s/it]
Training 1/1 epoch (loss 2.8241):  10%|█         | 130/1250 [03:13<26:13,  1.40s/it]
Training 1/1 epoch (loss 2.8241):  10%|█         | 131/1250 [03:13<28:08,  1.51s/it]
Training 1/1 epoch (loss 2.8201):  10%|█         | 131/1250 [03:13<28:08,  1.51s/it]
Training 1/1 epoch (loss 2.8201):  11%|█         | 132/1250 [03:13<22:31,  1.21s/it]
Training 1/1 epoch (loss 2.7562):  11%|█         | 132/1250 [03:16<22:31,  1.21s/it]
Training 1/1 epoch (loss 2.7562):  11%|█         | 133/1250 [03:16<28:00,  1.50s/it]
Training 1/1 epoch (loss 2.8455):  11%|█         | 133/1250 [03:17<28:00,  1.50s/it]
Training 1/1 epoch (loss 2.8455):  11%|█         | 134/1250 [03:17<29:59,  1.61s/it]
Training 1/1 epoch (loss 2.7396):  11%|█         | 134/1250 [03:19<29:59,  1.61s/it]
Training 1/1 epoch (loss 2.7396):  11%|█         | 135/1250 [03:19<27:29,  1.48s/it]
Training 1/1 epoch (loss 2.7006):  11%|█         | 135/1250 [03:21<27:29,  1.48s/it]
Training 1/1 epoch (loss 2.7006):  11%|█         | 136/1250 [03:21<34:36,  1.86s/it]
Training 1/1 epoch (loss 2.6153):  11%|█         | 136/1250 [03:22<34:36,  1.86s/it]
Training 1/1 epoch (loss 2.6153):  11%|█         | 137/1250 [03:22<30:29,  1.64s/it]
Training 1/1 epoch (loss 2.6174):  11%|█         | 137/1250 [03:24<30:29,  1.64s/it]
Training 1/1 epoch (loss 2.6174):  11%|█         | 138/1250 [03:24<31:21,  1.69s/it]
Training 1/1 epoch (loss 2.8204):  11%|█         | 138/1250 [03:26<31:21,  1.69s/it]
Training 1/1 epoch (loss 2.8204):  11%|█         | 139/1250 [03:26<31:19,  1.69s/it]
Training 1/1 epoch (loss 2.7859):  11%|█         | 139/1250 [03:27<31:19,  1.69s/it]
Training 1/1 epoch (loss 2.7859):  11%|█         | 140/1250 [03:27<26:16,  1.42s/it]
Training 1/1 epoch (loss 2.6638):  11%|█         | 140/1250 [03:29<26:16,  1.42s/it]
Training 1/1 epoch (loss 2.6638):  11%|█▏        | 141/1250 [03:29<29:07,  1.58s/it]
Training 1/1 epoch (loss 2.8033):  11%|█▏        | 141/1250 [03:31<29:07,  1.58s/it]
Training 1/1 epoch (loss 2.8033):  11%|█▏        | 142/1250 [03:31<31:09,  1.69s/it]
Training 1/1 epoch (loss 2.6877):  11%|█▏        | 142/1250 [03:31<31:09,  1.69s/it]
Training 1/1 epoch (loss 2.6877):  11%|█▏        | 143/1250 [03:31<25:12,  1.37s/it]
Training 1/1 epoch (loss 2.8617):  11%|█▏        | 143/1250 [03:34<25:12,  1.37s/it]
Training 1/1 epoch (loss 2.8617):  12%|█▏        | 144/1250 [03:34<31:21,  1.70s/it]
Training 1/1 epoch (loss 2.7457):  12%|█▏        | 144/1250 [03:36<31:21,  1.70s/it]
Training 1/1 epoch (loss 2.7457):  12%|█▏        | 145/1250 [03:36<32:40,  1.77s/it]
Training 1/1 epoch (loss 2.8137):  12%|█▏        | 145/1250 [03:37<32:40,  1.77s/it]
Training 1/1 epoch (loss 2.8137):  12%|█▏        | 146/1250 [03:37<29:34,  1.61s/it]
Training 1/1 epoch (loss 2.6377):  12%|█▏        | 146/1250 [03:39<29:34,  1.61s/it]
Training 1/1 epoch (loss 2.6377):  12%|█▏        | 147/1250 [03:39<34:35,  1.88s/it]
Training 1/1 epoch (loss 2.7898):  12%|█▏        | 147/1250 [03:40<34:35,  1.88s/it]
Training 1/1 epoch (loss 2.7898):  12%|█▏        | 148/1250 [03:40<29:39,  1.61s/it]
Training 1/1 epoch (loss 2.6782):  12%|█▏        | 148/1250 [03:42<29:39,  1.61s/it]
Training 1/1 epoch (loss 2.6782):  12%|█▏        | 149/1250 [03:42<29:27,  1.61s/it]
Training 1/1 epoch (loss 2.9538):  12%|█▏        | 149/1250 [03:43<29:27,  1.61s/it]
Training 1/1 epoch (loss 2.9538):  12%|█▏        | 150/1250 [03:43<28:47,  1.57s/it]
Training 1/1 epoch (loss 2.7011):  12%|█▏        | 150/1250 [03:44<28:47,  1.57s/it]
Training 1/1 epoch (loss 2.7011):  12%|█▏        | 151/1250 [03:44<24:02,  1.31s/it]
Training 1/1 epoch (loss 2.7690):  12%|█▏        | 151/1250 [03:46<24:02,  1.31s/it]
Training 1/1 epoch (loss 2.7690):  12%|█▏        | 152/1250 [03:46<28:30,  1.56s/it]
Training 1/1 epoch (loss 2.8976):  12%|█▏        | 152/1250 [03:48<28:30,  1.56s/it]
Training 1/1 epoch (loss 2.8976):  12%|█▏        | 153/1250 [03:48<30:50,  1.69s/it]
Training 1/1 epoch (loss 2.7954):  12%|█▏        | 153/1250 [03:49<30:50,  1.69s/it]
Training 1/1 epoch (loss 2.7954):  12%|█▏        | 154/1250 [03:49<23:55,  1.31s/it]
Training 1/1 epoch (loss 2.7561):  12%|█▏        | 154/1250 [03:51<23:55,  1.31s/it]
Training 1/1 epoch (loss 2.7561):  12%|█▏        | 155/1250 [03:51<29:48,  1.63s/it]
Training 1/1 epoch (loss 2.8465):  12%|█▏        | 155/1250 [03:52<29:48,  1.63s/it]
Training 1/1 epoch (loss 2.8465):  12%|█▏        | 156/1250 [03:52<27:01,  1.48s/it]
Training 1/1 epoch (loss 2.8486):  12%|█▏        | 156/1250 [03:53<27:01,  1.48s/it]
Training 1/1 epoch (loss 2.8486):  13%|█▎        | 157/1250 [03:53<22:02,  1.21s/it]
Training 1/1 epoch (loss 2.8475):  13%|█▎        | 157/1250 [03:55<22:02,  1.21s/it]
Training 1/1 epoch (loss 2.8475):  13%|█▎        | 158/1250 [03:55<28:50,  1.58s/it]
Training 1/1 epoch (loss 2.9731):  13%|█▎        | 158/1250 [03:56<28:50,  1.58s/it]
Training 1/1 epoch (loss 2.9731):  13%|█▎        | 159/1250 [03:56<26:32,  1.46s/it]
Training 1/1 epoch (loss 2.6849):  13%|█▎        | 159/1250 [03:57<26:32,  1.46s/it]
Training 1/1 epoch (loss 2.6849):  13%|█▎        | 160/1250 [03:57<21:58,  1.21s/it]
Training 1/1 epoch (loss 2.6897):  13%|█▎        | 160/1250 [03:59<21:58,  1.21s/it]
Training 1/1 epoch (loss 2.6897):  13%|█▎        | 161/1250 [03:59<25:07,  1.38s/it]
Training 1/1 epoch (loss 2.6093):  13%|█▎        | 161/1250 [04:00<25:07,  1.38s/it]
Training 1/1 epoch (loss 2.6093):  13%|█▎        | 162/1250 [04:00<24:06,  1.33s/it]
Training 1/1 epoch (loss 2.7855):  13%|█▎        | 162/1250 [04:01<24:06,  1.33s/it]
Training 1/1 epoch (loss 2.7855):  13%|█▎        | 163/1250 [04:01<20:21,  1.12s/it]
Training 1/1 epoch (loss 2.5838):  13%|█▎        | 163/1250 [04:02<20:21,  1.12s/it]
Training 1/1 epoch (loss 2.5838):  13%|█▎        | 164/1250 [04:02<23:13,  1.28s/it]
Training 1/1 epoch (loss 2.6879):  13%|█▎        | 164/1250 [04:04<23:13,  1.28s/it]
Training 1/1 epoch (loss 2.6879):  13%|█▎        | 165/1250 [04:04<23:14,  1.29s/it]
Training 1/1 epoch (loss 2.7240):  13%|█▎        | 165/1250 [04:04<23:14,  1.29s/it]
Training 1/1 epoch (loss 2.7240):  13%|█▎        | 166/1250 [04:04<19:14,  1.07s/it]
Training 1/1 epoch (loss 2.6637):  13%|█▎        | 166/1250 [04:07<19:14,  1.07s/it]
Training 1/1 epoch (loss 2.6637):  13%|█▎        | 167/1250 [04:07<25:45,  1.43s/it]
Training 1/1 epoch (loss 2.6975):  13%|█▎        | 167/1250 [04:08<25:45,  1.43s/it]
Training 1/1 epoch (loss 2.6975):  13%|█▎        | 168/1250 [04:08<27:20,  1.52s/it]
Training 1/1 epoch (loss 2.7213):  13%|█▎        | 168/1250 [04:10<27:20,  1.52s/it]
Training 1/1 epoch (loss 2.7213):  14%|█▎        | 169/1250 [04:10<26:17,  1.46s/it]
Training 1/1 epoch (loss 2.7753):  14%|█▎        | 169/1250 [04:11<26:17,  1.46s/it]
Training 1/1 epoch (loss 2.7753):  14%|█▎        | 170/1250 [04:11<26:35,  1.48s/it]
Training 1/1 epoch (loss 2.7366):  14%|█▎        | 170/1250 [04:12<26:35,  1.48s/it]
Training 1/1 epoch (loss 2.7366):  14%|█▎        | 171/1250 [04:12<24:24,  1.36s/it]
Training 1/1 epoch (loss 2.6314):  14%|█▎        | 171/1250 [04:13<24:24,  1.36s/it]
Training 1/1 epoch (loss 2.6314):  14%|█▍        | 172/1250 [04:13<22:53,  1.27s/it]
Training 1/1 epoch (loss 2.5646):  14%|█▍        | 172/1250 [04:14<22:53,  1.27s/it]
Training 1/1 epoch (loss 2.5646):  14%|█▍        | 173/1250 [04:14<21:26,  1.19s/it]
Training 1/1 epoch (loss 2.8368):  14%|█▍        | 173/1250 [04:15<21:26,  1.19s/it]
Training 1/1 epoch (loss 2.8368):  14%|█▍        | 174/1250 [04:15<21:22,  1.19s/it]
Training 1/1 epoch (loss 2.8711):  14%|█▍        | 174/1250 [04:17<21:22,  1.19s/it]
Training 1/1 epoch (loss 2.8711):  14%|█▍        | 175/1250 [04:17<25:12,  1.41s/it]
Training 1/1 epoch (loss 2.6904):  14%|█▍        | 175/1250 [04:19<25:12,  1.41s/it]
Training 1/1 epoch (loss 2.6904):  14%|█▍        | 176/1250 [04:19<27:52,  1.56s/it]
Training 1/1 epoch (loss 2.9227):  14%|█▍        | 176/1250 [04:20<27:52,  1.56s/it]
Training 1/1 epoch (loss 2.9227):  14%|█▍        | 177/1250 [04:20<24:13,  1.35s/it]
Training 1/1 epoch (loss 2.7351):  14%|█▍        | 177/1250 [04:22<24:13,  1.35s/it]
Training 1/1 epoch (loss 2.7351):  14%|█▍        | 178/1250 [04:22<24:44,  1.39s/it]
Training 1/1 epoch (loss 2.9244):  14%|█▍        | 178/1250 [04:23<24:44,  1.39s/it]
Training 1/1 epoch (loss 2.9244):  14%|█▍        | 179/1250 [04:23<24:08,  1.35s/it]
Training 1/1 epoch (loss 2.8791):  14%|█▍        | 179/1250 [04:24<24:08,  1.35s/it]
Training 1/1 epoch (loss 2.8791):  14%|█▍        | 180/1250 [04:24<21:53,  1.23s/it]
Training 1/1 epoch (loss 2.9022):  14%|█▍        | 180/1250 [04:25<21:53,  1.23s/it]
Training 1/1 epoch (loss 2.9022):  14%|█▍        | 181/1250 [04:25<23:06,  1.30s/it]
Training 1/1 epoch (loss 2.7654):  14%|█▍        | 181/1250 [04:26<23:06,  1.30s/it]
Training 1/1 epoch (loss 2.7654):  15%|█▍        | 182/1250 [04:26<20:45,  1.17s/it]
Training 1/1 epoch (loss 2.8061):  15%|█▍        | 182/1250 [04:27<20:45,  1.17s/it]
Training 1/1 epoch (loss 2.8061):  15%|█▍        | 183/1250 [04:27<20:08,  1.13s/it]
Training 1/1 epoch (loss 2.7868):  15%|█▍        | 183/1250 [04:30<20:08,  1.13s/it]
Training 1/1 epoch (loss 2.7868):  15%|█▍        | 184/1250 [04:30<27:43,  1.56s/it]
Training 1/1 epoch (loss 2.6616):  15%|█▍        | 184/1250 [04:30<27:43,  1.56s/it]
Training 1/1 epoch (loss 2.6616):  15%|█▍        | 185/1250 [04:30<23:14,  1.31s/it]
Training 1/1 epoch (loss 2.7505):  15%|█▍        | 185/1250 [04:32<23:14,  1.31s/it]
Training 1/1 epoch (loss 2.7505):  15%|█▍        | 186/1250 [04:32<23:10,  1.31s/it]
Training 1/1 epoch (loss 2.8355):  15%|█▍        | 186/1250 [04:34<23:10,  1.31s/it]
Training 1/1 epoch (loss 2.8355):  15%|█▍        | 187/1250 [04:34<28:47,  1.63s/it]
Training 1/1 epoch (loss 2.5569):  15%|█▍        | 187/1250 [04:35<28:47,  1.63s/it]
Training 1/1 epoch (loss 2.5569):  15%|█▌        | 188/1250 [04:35<22:30,  1.27s/it]
Training 1/1 epoch (loss 2.6328):  15%|█▌        | 188/1250 [04:37<22:30,  1.27s/it]
Training 1/1 epoch (loss 2.6328):  15%|█▌        | 189/1250 [04:37<27:47,  1.57s/it]
Training 1/1 epoch (loss 2.6099):  15%|█▌        | 189/1250 [04:39<27:47,  1.57s/it]
Training 1/1 epoch (loss 2.6099):  15%|█▌        | 190/1250 [04:39<29:05,  1.65s/it]
Training 1/1 epoch (loss 2.7061):  15%|█▌        | 190/1250 [04:39<29:05,  1.65s/it]
Training 1/1 epoch (loss 2.7061):  15%|█▌        | 191/1250 [04:39<23:46,  1.35s/it]
Training 1/1 epoch (loss 2.9433):  15%|█▌        | 191/1250 [04:41<23:46,  1.35s/it]
Training 1/1 epoch (loss 2.9433):  15%|█▌        | 192/1250 [04:41<27:30,  1.56s/it]
Training 1/1 epoch (loss 2.6951):  15%|█▌        | 192/1250 [04:43<27:30,  1.56s/it]
Training 1/1 epoch (loss 2.6951):  15%|█▌        | 193/1250 [04:43<26:43,  1.52s/it]
Training 1/1 epoch (loss 2.8614):  15%|█▌        | 193/1250 [04:44<26:43,  1.52s/it]
Training 1/1 epoch (loss 2.8614):  16%|█▌        | 194/1250 [04:44<23:29,  1.33s/it]
Training 1/1 epoch (loss 2.7291):  16%|█▌        | 194/1250 [04:45<23:29,  1.33s/it]
Training 1/1 epoch (loss 2.7291):  16%|█▌        | 195/1250 [04:45<22:24,  1.27s/it]
Training 1/1 epoch (loss 2.5920):  16%|█▌        | 195/1250 [04:46<22:24,  1.27s/it]
Training 1/1 epoch (loss 2.5920):  16%|█▌        | 196/1250 [04:46<19:50,  1.13s/it]
Training 1/1 epoch (loss 2.6773):  16%|█▌        | 196/1250 [04:48<19:50,  1.13s/it]
Training 1/1 epoch (loss 2.6773):  16%|█▌        | 197/1250 [04:48<24:33,  1.40s/it]
Training 1/1 epoch (loss 2.8307):  16%|█▌        | 197/1250 [04:49<24:33,  1.40s/it]
Training 1/1 epoch (loss 2.8307):  16%|█▌        | 198/1250 [04:49<26:43,  1.52s/it]
Training 1/1 epoch (loss 2.7678):  16%|█▌        | 198/1250 [04:50<26:43,  1.52s/it]
Training 1/1 epoch (loss 2.7678):  16%|█▌        | 199/1250 [04:50<21:18,  1.22s/it]
Training 1/1 epoch (loss 2.6885):  16%|█▌        | 199/1250 [04:51<21:18,  1.22s/it]
Training 1/1 epoch (loss 2.6885):  16%|█▌        | 200/1250 [04:51<21:37,  1.24s/it]
Training 1/1 epoch (loss 2.8067):  16%|█▌        | 200/1250 [04:54<21:37,  1.24s/it]
Training 1/1 epoch (loss 2.8067):  16%|█▌        | 201/1250 [04:54<27:49,  1.59s/it]
Training 1/1 epoch (loss 2.6999):  16%|█▌        | 201/1250 [04:54<27:49,  1.59s/it]
Training 1/1 epoch (loss 2.6999):  16%|█▌        | 202/1250 [04:54<23:03,  1.32s/it]
Training 1/1 epoch (loss 2.6414):  16%|█▌        | 202/1250 [04:56<23:03,  1.32s/it]
Training 1/1 epoch (loss 2.6414):  16%|█▌        | 203/1250 [04:56<27:09,  1.56s/it]
Training 1/1 epoch (loss 2.6257):  16%|█▌        | 203/1250 [04:59<27:09,  1.56s/it]
Training 1/1 epoch (loss 2.6257):  16%|█▋        | 204/1250 [04:59<31:35,  1.81s/it]
Training 1/1 epoch (loss 2.6314):  16%|█▋        | 204/1250 [05:00<31:35,  1.81s/it]
Training 1/1 epoch (loss 2.6314):  16%|█▋        | 205/1250 [05:00<26:29,  1.52s/it]
Training 1/1 epoch (loss 2.8827):  16%|█▋        | 205/1250 [05:00<26:29,  1.52s/it]
Training 1/1 epoch (loss 2.8827):  16%|█▋        | 206/1250 [05:00<22:09,  1.27s/it]
Training 1/1 epoch (loss 2.7362):  16%|█▋        | 206/1250 [05:02<22:09,  1.27s/it]
Training 1/1 epoch (loss 2.7362):  17%|█▋        | 207/1250 [05:02<24:16,  1.40s/it]
Training 1/1 epoch (loss 2.7467):  17%|█▋        | 207/1250 [05:03<24:16,  1.40s/it]
Training 1/1 epoch (loss 2.7467):  17%|█▋        | 208/1250 [05:03<21:46,  1.25s/it]
Training 1/1 epoch (loss 2.7294):  17%|█▋        | 208/1250 [05:05<21:46,  1.25s/it]
Training 1/1 epoch (loss 2.7294):  17%|█▋        | 209/1250 [05:05<27:48,  1.60s/it]
Training 1/1 epoch (loss 2.7301):  17%|█▋        | 209/1250 [05:07<27:48,  1.60s/it]
Training 1/1 epoch (loss 2.7301):  17%|█▋        | 210/1250 [05:07<25:39,  1.48s/it]
Training 1/1 epoch (loss 2.7560):  17%|█▋        | 210/1250 [05:08<25:39,  1.48s/it]
Training 1/1 epoch (loss 2.7560):  17%|█▋        | 211/1250 [05:08<25:38,  1.48s/it]
Training 1/1 epoch (loss 2.9067):  17%|█▋        | 211/1250 [05:10<25:38,  1.48s/it]
Training 1/1 epoch (loss 2.9067):  17%|█▋        | 212/1250 [05:10<25:38,  1.48s/it]
Training 1/1 epoch (loss 2.6924):  17%|█▋        | 212/1250 [05:10<25:38,  1.48s/it]
Training 1/1 epoch (loss 2.6924):  17%|█▋        | 213/1250 [05:10<22:28,  1.30s/it]
Training 1/1 epoch (loss 2.5839):  17%|█▋        | 213/1250 [05:12<22:28,  1.30s/it]
Training 1/1 epoch (loss 2.5839):  17%|█▋        | 214/1250 [05:12<24:00,  1.39s/it]
Training 1/1 epoch (loss 2.5754):  17%|█▋        | 214/1250 [05:13<24:00,  1.39s/it]
Training 1/1 epoch (loss 2.5754):  17%|█▋        | 215/1250 [05:13<23:37,  1.37s/it]
Training 1/1 epoch (loss 2.4751):  17%|█▋        | 215/1250 [05:14<23:37,  1.37s/it]
Training 1/1 epoch (loss 2.4751):  17%|█▋        | 216/1250 [05:14<21:40,  1.26s/it]
Training 1/1 epoch (loss 2.5835):  17%|█▋        | 216/1250 [05:16<21:40,  1.26s/it]
Training 1/1 epoch (loss 2.5835):  17%|█▋        | 217/1250 [05:16<23:55,  1.39s/it]
Training 1/1 epoch (loss 2.7904):  17%|█▋        | 217/1250 [05:17<23:55,  1.39s/it]
Training 1/1 epoch (loss 2.7904):  17%|█▋        | 218/1250 [05:17<22:37,  1.32s/it]
Training 1/1 epoch (loss 2.8251):  17%|█▋        | 218/1250 [05:18<22:37,  1.32s/it]
Training 1/1 epoch (loss 2.8251):  18%|█▊        | 219/1250 [05:18<20:02,  1.17s/it]
Training 1/1 epoch (loss 2.5427):  18%|█▊        | 219/1250 [05:20<20:02,  1.17s/it]
Training 1/1 epoch (loss 2.5427):  18%|█▊        | 220/1250 [05:20<26:36,  1.55s/it]
Training 1/1 epoch (loss 2.5790):  18%|█▊        | 220/1250 [05:22<26:36,  1.55s/it]
Training 1/1 epoch (loss 2.5790):  18%|█▊        | 221/1250 [05:22<25:14,  1.47s/it]
Training 1/1 epoch (loss 2.7313):  18%|█▊        | 221/1250 [05:24<25:14,  1.47s/it]
Training 1/1 epoch (loss 2.7313):  18%|█▊        | 222/1250 [05:24<29:13,  1.71s/it]
Training 1/1 epoch (loss 2.6235):  18%|█▊        | 222/1250 [05:25<29:13,  1.71s/it]
Training 1/1 epoch (loss 2.6235):  18%|█▊        | 223/1250 [05:25<27:44,  1.62s/it]
Training 1/1 epoch (loss 2.6535):  18%|█▊        | 223/1250 [05:26<27:44,  1.62s/it]
Training 1/1 epoch (loss 2.6535):  18%|█▊        | 224/1250 [05:26<23:59,  1.40s/it]
Training 1/1 epoch (loss 2.5313):  18%|█▊        | 224/1250 [05:29<23:59,  1.40s/it]
Training 1/1 epoch (loss 2.5313):  18%|█▊        | 225/1250 [05:29<29:17,  1.71s/it]
Training 1/1 epoch (loss 2.6844):  18%|█▊        | 225/1250 [05:31<29:17,  1.71s/it]
Training 1/1 epoch (loss 2.6844):  18%|█▊        | 226/1250 [05:31<31:16,  1.83s/it]
Training 1/1 epoch (loss 2.9097):  18%|█▊        | 226/1250 [05:31<31:16,  1.83s/it]
Training 1/1 epoch (loss 2.9097):  18%|█▊        | 227/1250 [05:31<24:24,  1.43s/it]
Training 1/1 epoch (loss 2.8007):  18%|█▊        | 227/1250 [05:33<24:24,  1.43s/it]
Training 1/1 epoch (loss 2.8007):  18%|█▊        | 228/1250 [05:33<26:58,  1.58s/it]
Training 1/1 epoch (loss 2.7010):  18%|█▊        | 228/1250 [05:35<26:58,  1.58s/it]
Training 1/1 epoch (loss 2.7010):  18%|█▊        | 229/1250 [05:35<29:49,  1.75s/it]
Training 1/1 epoch (loss 2.6363):  18%|█▊        | 229/1250 [05:36<29:49,  1.75s/it]
Training 1/1 epoch (loss 2.6363):  18%|█▊        | 230/1250 [05:36<24:58,  1.47s/it]
Training 1/1 epoch (loss 2.8609):  18%|█▊        | 230/1250 [05:39<24:58,  1.47s/it]
Training 1/1 epoch (loss 2.8609):  18%|█▊        | 231/1250 [05:39<29:41,  1.75s/it]
Training 1/1 epoch (loss 2.8554):  18%|█▊        | 231/1250 [05:41<29:41,  1.75s/it]
Training 1/1 epoch (loss 2.8554):  19%|█▊        | 232/1250 [05:41<31:42,  1.87s/it]
Training 1/1 epoch (loss 2.7418):  19%|█▊        | 232/1250 [05:42<31:42,  1.87s/it]
Training 1/1 epoch (loss 2.7418):  19%|█▊        | 233/1250 [05:42<27:00,  1.59s/it]
Training 1/1 epoch (loss 2.7477):  19%|█▊        | 233/1250 [05:43<27:00,  1.59s/it]
Training 1/1 epoch (loss 2.7477):  19%|█▊        | 234/1250 [05:43<25:52,  1.53s/it]
Training 1/1 epoch (loss 2.7497):  19%|█▊        | 234/1250 [05:44<25:52,  1.53s/it]
Training 1/1 epoch (loss 2.7497):  19%|█▉        | 235/1250 [05:44<24:07,  1.43s/it]
Training 1/1 epoch (loss 2.7348):  19%|█▉        | 235/1250 [05:45<24:07,  1.43s/it]
Training 1/1 epoch (loss 2.7348):  19%|█▉        | 236/1250 [05:45<21:53,  1.30s/it]
Training 1/1 epoch (loss 2.5937):  19%|█▉        | 236/1250 [05:47<21:53,  1.30s/it]
Training 1/1 epoch (loss 2.5937):  19%|█▉        | 237/1250 [05:47<24:06,  1.43s/it]
Training 1/1 epoch (loss 2.7252):  19%|█▉        | 237/1250 [05:48<24:06,  1.43s/it]
Training 1/1 epoch (loss 2.7252):  19%|█▉        | 238/1250 [05:48<21:05,  1.25s/it]
Training 1/1 epoch (loss 2.6181):  19%|█▉        | 238/1250 [05:50<21:05,  1.25s/it]
Training 1/1 epoch (loss 2.6181):  19%|█▉        | 239/1250 [05:50<24:09,  1.43s/it]
Training 1/1 epoch (loss 2.6648):  19%|█▉        | 239/1250 [05:52<24:09,  1.43s/it]
Training 1/1 epoch (loss 2.6648):  19%|█▉        | 240/1250 [05:52<28:52,  1.72s/it]
Training 1/1 epoch (loss 2.5835):  19%|█▉        | 240/1250 [05:53<28:52,  1.72s/it]
Training 1/1 epoch (loss 2.5835):  19%|█▉        | 241/1250 [05:53<22:45,  1.35s/it]
Training 1/1 epoch (loss 2.6874):  19%|█▉        | 241/1250 [05:55<22:45,  1.35s/it]
Training 1/1 epoch (loss 2.6874):  19%|█▉        | 242/1250 [05:55<26:16,  1.56s/it]
Training 1/1 epoch (loss 2.5630):  19%|█▉        | 242/1250 [05:56<26:16,  1.56s/it]
Training 1/1 epoch (loss 2.5630):  19%|█▉        | 243/1250 [05:56<25:06,  1.50s/it]
Training 1/1 epoch (loss 2.4923):  19%|█▉        | 243/1250 [05:56<25:06,  1.50s/it]
Training 1/1 epoch (loss 2.4923):  20%|█▉        | 244/1250 [05:56<19:34,  1.17s/it]
Training 1/1 epoch (loss 2.6533):  20%|█▉        | 244/1250 [05:57<19:34,  1.17s/it]
Training 1/1 epoch (loss 2.6533):  20%|█▉        | 245/1250 [05:57<18:47,  1.12s/it]
Training 1/1 epoch (loss 2.7168):  20%|█▉        | 245/1250 [05:59<18:47,  1.12s/it]
Training 1/1 epoch (loss 2.7168):  20%|█▉        | 246/1250 [05:59<20:32,  1.23s/it]
Training 1/1 epoch (loss 2.6522):  20%|█▉        | 246/1250 [06:00<20:32,  1.23s/it]
Training 1/1 epoch (loss 2.6522):  20%|█▉        | 247/1250 [06:00<18:59,  1.14s/it]
Training 1/1 epoch (loss 2.6392):  20%|█▉        | 247/1250 [06:01<18:59,  1.14s/it]
Training 1/1 epoch (loss 2.6392):  20%|█▉        | 248/1250 [06:01<20:26,  1.22s/it]
Training 1/1 epoch (loss 2.7989):  20%|█▉        | 248/1250 [06:03<20:26,  1.22s/it]
Training 1/1 epoch (loss 2.7989):  20%|█▉        | 249/1250 [06:03<22:17,  1.34s/it]
Training 1/1 epoch (loss 2.7527):  20%|█▉        | 249/1250 [06:04<22:17,  1.34s/it]
Training 1/1 epoch (loss 2.7527):  20%|██        | 250/1250 [06:04<20:00,  1.20s/it]
Training 1/1 epoch (loss 2.6352):  20%|██        | 250/1250 [06:06<20:00,  1.20s/it]
Training 1/1 epoch (loss 2.6352):  20%|██        | 251/1250 [06:06<23:42,  1.42s/it]
Training 1/1 epoch (loss 2.7573):  20%|██        | 251/1250 [06:07<23:42,  1.42s/it]
Training 1/1 epoch (loss 2.7573):  20%|██        | 252/1250 [06:07<22:39,  1.36s/it]
Training 1/1 epoch (loss 2.6558):  20%|██        | 252/1250 [06:08<22:39,  1.36s/it]
Training 1/1 epoch (loss 2.6558):  20%|██        | 253/1250 [06:08<20:21,  1.22s/it]
Training 1/1 epoch (loss 2.7867):  20%|██        | 253/1250 [06:10<20:21,  1.22s/it]
Training 1/1 epoch (loss 2.7867):  20%|██        | 254/1250 [06:10<24:12,  1.46s/it]
Training 1/1 epoch (loss 2.6694):  20%|██        | 254/1250 [06:11<24:12,  1.46s/it]
Training 1/1 epoch (loss 2.6694):  20%|██        | 255/1250 [06:11<22:58,  1.39s/it]
Training 1/1 epoch (loss 2.7821):  20%|██        | 255/1250 [06:14<22:58,  1.39s/it]
Training 1/1 epoch (loss 2.7821):  20%|██        | 256/1250 [06:14<29:05,  1.76s/it]
Training 1/1 epoch (loss 2.7503):  20%|██        | 256/1250 [06:16<29:05,  1.76s/it]
Training 1/1 epoch (loss 2.7503):  21%|██        | 257/1250 [06:16<32:13,  1.95s/it]
Training 1/1 epoch (loss 2.7028):  21%|██        | 257/1250 [06:17<32:13,  1.95s/it]
Training 1/1 epoch (loss 2.7028):  21%|██        | 258/1250 [06:17<25:58,  1.57s/it]
Training 1/1 epoch (loss 2.6863):  21%|██        | 258/1250 [06:18<25:58,  1.57s/it]
Training 1/1 epoch (loss 2.6863):  21%|██        | 259/1250 [06:18<22:02,  1.33s/it]
Training 1/1 epoch (loss 2.7357):  21%|██        | 259/1250 [06:20<22:02,  1.33s/it]
Training 1/1 epoch (loss 2.7357):  21%|██        | 260/1250 [06:20<27:28,  1.66s/it]
Training 1/1 epoch (loss 2.6192):  21%|██        | 260/1250 [06:20<27:28,  1.66s/it]
Training 1/1 epoch (loss 2.6192):  21%|██        | 261/1250 [06:20<21:03,  1.28s/it]
Training 1/1 epoch (loss 2.6726):  21%|██        | 261/1250 [06:22<21:03,  1.28s/it]
Training 1/1 epoch (loss 2.6726):  21%|██        | 262/1250 [06:22<23:46,  1.44s/it]
Training 1/1 epoch (loss 2.6662):  21%|██        | 262/1250 [06:24<23:46,  1.44s/it]
Training 1/1 epoch (loss 2.6662):  21%|██        | 263/1250 [06:24<25:13,  1.53s/it]
Training 1/1 epoch (loss 2.4099):  21%|██        | 263/1250 [06:25<25:13,  1.53s/it]
Training 1/1 epoch (loss 2.4099):  21%|██        | 264/1250 [06:25<20:59,  1.28s/it]
Training 1/1 epoch (loss 2.7352):  21%|██        | 264/1250 [06:26<20:59,  1.28s/it]
Training 1/1 epoch (loss 2.7352):  21%|██        | 265/1250 [06:26<20:11,  1.23s/it]
Training 1/1 epoch (loss 2.7150):  21%|██        | 265/1250 [06:28<20:11,  1.23s/it]
Training 1/1 epoch (loss 2.7150):  21%|██▏       | 266/1250 [06:28<25:47,  1.57s/it]
Training 1/1 epoch (loss 2.8195):  21%|██▏       | 266/1250 [06:29<25:47,  1.57s/it]
Training 1/1 epoch (loss 2.8195):  21%|██▏       | 267/1250 [06:29<20:05,  1.23s/it]
Training 1/1 epoch (loss 2.7368):  21%|██▏       | 267/1250 [06:30<20:05,  1.23s/it]
Training 1/1 epoch (loss 2.7368):  21%|██▏       | 268/1250 [06:30<21:50,  1.33s/it]
Training 1/1 epoch (loss 2.6982):  21%|██▏       | 268/1250 [06:31<21:50,  1.33s/it]
Training 1/1 epoch (loss 2.6982):  22%|██▏       | 269/1250 [06:31<20:21,  1.25s/it]
Training 1/1 epoch (loss 2.6419):  22%|██▏       | 269/1250 [06:32<20:21,  1.25s/it]
Training 1/1 epoch (loss 2.6419):  22%|██▏       | 270/1250 [06:32<16:21,  1.00s/it]
Training 1/1 epoch (loss 2.5254):  22%|██▏       | 270/1250 [06:34<16:21,  1.00s/it]
Training 1/1 epoch (loss 2.5254):  22%|██▏       | 271/1250 [06:34<23:24,  1.43s/it]
Training 1/1 epoch (loss 2.4608):  22%|██▏       | 271/1250 [06:36<23:24,  1.43s/it]
Training 1/1 epoch (loss 2.4608):  22%|██▏       | 272/1250 [06:36<25:28,  1.56s/it]
Training 1/1 epoch (loss 2.6420):  22%|██▏       | 272/1250 [06:37<25:28,  1.56s/it]
Training 1/1 epoch (loss 2.6420):  22%|██▏       | 273/1250 [06:37<21:09,  1.30s/it]
Training 1/1 epoch (loss 2.7341):  22%|██▏       | 273/1250 [06:38<21:09,  1.30s/it]
Training 1/1 epoch (loss 2.7341):  22%|██▏       | 274/1250 [06:38<23:45,  1.46s/it]
Training 1/1 epoch (loss 2.7532):  22%|██▏       | 274/1250 [06:40<23:45,  1.46s/it]
Training 1/1 epoch (loss 2.7532):  22%|██▏       | 275/1250 [06:40<25:19,  1.56s/it]
Training 1/1 epoch (loss 2.7701):  22%|██▏       | 275/1250 [06:41<25:19,  1.56s/it]
Training 1/1 epoch (loss 2.7701):  22%|██▏       | 276/1250 [06:41<20:01,  1.23s/it]
Training 1/1 epoch (loss 2.7120):  22%|██▏       | 276/1250 [06:42<20:01,  1.23s/it]
Training 1/1 epoch (loss 2.7120):  22%|██▏       | 277/1250 [06:42<22:13,  1.37s/it]
Training 1/1 epoch (loss 2.7926):  22%|██▏       | 277/1250 [06:44<22:13,  1.37s/it]
Training 1/1 epoch (loss 2.7926):  22%|██▏       | 278/1250 [06:44<23:00,  1.42s/it]
Training 1/1 epoch (loss 2.8662):  22%|██▏       | 278/1250 [06:45<23:00,  1.42s/it]
Training 1/1 epoch (loss 2.8662):  22%|██▏       | 279/1250 [06:45<22:16,  1.38s/it]
Training 1/1 epoch (loss 2.6147):  22%|██▏       | 279/1250 [06:48<22:16,  1.38s/it]
Training 1/1 epoch (loss 2.6147):  22%|██▏       | 280/1250 [06:48<27:36,  1.71s/it]
Training 1/1 epoch (loss 2.8070):  22%|██▏       | 280/1250 [06:49<27:36,  1.71s/it]
Training 1/1 epoch (loss 2.8070):  22%|██▏       | 281/1250 [06:49<23:39,  1.47s/it]
Training 1/1 epoch (loss 2.6629):  22%|██▏       | 281/1250 [06:50<23:39,  1.47s/it]
Training 1/1 epoch (loss 2.6629):  23%|██▎       | 282/1250 [06:50<24:19,  1.51s/it]
Training 1/1 epoch (loss 2.7138):  23%|██▎       | 282/1250 [06:51<24:19,  1.51s/it]
Training 1/1 epoch (loss 2.7138):  23%|██▎       | 283/1250 [06:51<22:51,  1.42s/it]
Training 1/1 epoch (loss 2.8214):  23%|██▎       | 283/1250 [06:52<22:51,  1.42s/it]
Training 1/1 epoch (loss 2.8214):  23%|██▎       | 284/1250 [06:52<19:28,  1.21s/it]
Training 1/1 epoch (loss 2.6936):  23%|██▎       | 284/1250 [06:54<19:28,  1.21s/it]
Training 1/1 epoch (loss 2.6936):  23%|██▎       | 285/1250 [06:54<21:06,  1.31s/it]
Training 1/1 epoch (loss 2.5472):  23%|██▎       | 285/1250 [06:55<21:06,  1.31s/it]
Training 1/1 epoch (loss 2.5472):  23%|██▎       | 286/1250 [06:55<23:33,  1.47s/it]
Training 1/1 epoch (loss 2.6606):  23%|██▎       | 286/1250 [06:56<23:33,  1.47s/it]
Training 1/1 epoch (loss 2.6606):  23%|██▎       | 287/1250 [06:56<19:05,  1.19s/it]
Training 1/1 epoch (loss 2.6650):  23%|██▎       | 287/1250 [06:58<19:05,  1.19s/it]
Training 1/1 epoch (loss 2.6650):  23%|██▎       | 288/1250 [06:58<21:00,  1.31s/it]
Training 1/1 epoch (loss 2.6208):  23%|██▎       | 288/1250 [06:59<21:00,  1.31s/it]
Training 1/1 epoch (loss 2.6208):  23%|██▎       | 289/1250 [06:59<21:06,  1.32s/it]
Training 1/1 epoch (loss 2.5869):  23%|██▎       | 289/1250 [07:00<21:06,  1.32s/it]
Training 1/1 epoch (loss 2.5869):  23%|██▎       | 290/1250 [07:00<19:08,  1.20s/it]
Training 1/1 epoch (loss 2.6175):  23%|██▎       | 290/1250 [07:02<19:08,  1.20s/it]
Training 1/1 epoch (loss 2.6175):  23%|██▎       | 291/1250 [07:02<24:33,  1.54s/it]
Training 1/1 epoch (loss 2.9057):  23%|██▎       | 291/1250 [07:04<24:33,  1.54s/it]
Training 1/1 epoch (loss 2.9057):  23%|██▎       | 292/1250 [07:04<23:52,  1.49s/it]
Training 1/1 epoch (loss 2.8089):  23%|██▎       | 292/1250 [07:04<23:52,  1.49s/it]
Training 1/1 epoch (loss 2.8089):  23%|██▎       | 293/1250 [07:04<20:38,  1.29s/it]
Training 1/1 epoch (loss 2.6792):  23%|██▎       | 293/1250 [07:06<20:38,  1.29s/it]
Training 1/1 epoch (loss 2.6792):  24%|██▎       | 294/1250 [07:06<23:27,  1.47s/it]
Training 1/1 epoch (loss 2.6451):  24%|██▎       | 294/1250 [07:07<23:27,  1.47s/it]
Training 1/1 epoch (loss 2.6451):  24%|██▎       | 295/1250 [07:07<21:24,  1.35s/it]
Training 1/1 epoch (loss 2.7266):  24%|██▎       | 295/1250 [07:08<21:24,  1.35s/it]
Training 1/1 epoch (loss 2.7266):  24%|██▎       | 296/1250 [07:08<19:33,  1.23s/it]
Training 1/1 epoch (loss 2.6532):  24%|██▎       | 296/1250 [07:10<19:33,  1.23s/it]
Training 1/1 epoch (loss 2.6532):  24%|██▍       | 297/1250 [07:10<20:37,  1.30s/it]
Training 1/1 epoch (loss 2.7383):  24%|██▍       | 297/1250 [07:11<20:37,  1.30s/it]
Training 1/1 epoch (loss 2.7383):  24%|██▍       | 298/1250 [07:11<18:24,  1.16s/it]
Training 1/1 epoch (loss 2.6079):  24%|██▍       | 298/1250 [07:12<18:24,  1.16s/it]
Training 1/1 epoch (loss 2.6079):  24%|██▍       | 299/1250 [07:12<19:17,  1.22s/it]
Training 1/1 epoch (loss 2.7754):  24%|██▍       | 299/1250 [07:14<19:17,  1.22s/it]
Training 1/1 epoch (loss 2.7754):  24%|██▍       | 300/1250 [07:14<23:26,  1.48s/it]
Training 1/1 epoch (loss 2.6451):  24%|██▍       | 300/1250 [07:15<23:26,  1.48s/it]
Training 1/1 epoch (loss 2.6451):  24%|██▍       | 301/1250 [07:15<21:10,  1.34s/it]
Training 1/1 epoch (loss 2.5133):  24%|██▍       | 301/1250 [07:17<21:10,  1.34s/it]
Training 1/1 epoch (loss 2.5133):  24%|██▍       | 302/1250 [07:17<24:29,  1.55s/it]
Training 1/1 epoch (loss 2.3830):  24%|██▍       | 302/1250 [07:19<24:29,  1.55s/it]
Training 1/1 epoch (loss 2.3830):  24%|██▍       | 303/1250 [07:19<24:22,  1.54s/it]
Training 1/1 epoch (loss 2.7914):  24%|██▍       | 303/1250 [07:19<24:22,  1.54s/it]
Training 1/1 epoch (loss 2.7914):  24%|██▍       | 304/1250 [07:19<19:55,  1.26s/it]
Training 1/1 epoch (loss 2.8872):  24%|██▍       | 304/1250 [07:20<19:55,  1.26s/it]
Training 1/1 epoch (loss 2.8872):  24%|██▍       | 305/1250 [07:20<19:45,  1.25s/it]
Training 1/1 epoch (loss 2.8286):  24%|██▍       | 305/1250 [07:22<19:45,  1.25s/it]
Training 1/1 epoch (loss 2.8286):  24%|██▍       | 306/1250 [07:22<22:54,  1.46s/it]
Training 1/1 epoch (loss 2.6829):  24%|██▍       | 306/1250 [07:23<22:54,  1.46s/it]
Training 1/1 epoch (loss 2.6829):  25%|██▍       | 307/1250 [07:23<18:19,  1.17s/it]
Training 1/1 epoch (loss 2.6400):  25%|██▍       | 307/1250 [07:25<18:19,  1.17s/it]
Training 1/1 epoch (loss 2.6400):  25%|██▍       | 308/1250 [07:25<20:25,  1.30s/it]
Training 1/1 epoch (loss 2.6151):  25%|██▍       | 308/1250 [07:26<20:25,  1.30s/it]
Training 1/1 epoch (loss 2.6151):  25%|██▍       | 309/1250 [07:26<20:45,  1.32s/it]
Training 1/1 epoch (loss 2.6162):  25%|██▍       | 309/1250 [07:27<20:45,  1.32s/it]
Training 1/1 epoch (loss 2.6162):  25%|██▍       | 310/1250 [07:27<20:49,  1.33s/it]
Training 1/1 epoch (loss 2.7687):  25%|██▍       | 310/1250 [07:29<20:49,  1.33s/it]
Training 1/1 epoch (loss 2.7687):  25%|██▍       | 311/1250 [07:29<20:36,  1.32s/it]
Training 1/1 epoch (loss 2.6015):  25%|██▍       | 311/1250 [07:30<20:36,  1.32s/it]
Training 1/1 epoch (loss 2.6015):  25%|██▍       | 312/1250 [07:30<19:45,  1.26s/it]
Training 1/1 epoch (loss 2.4530):  25%|██▍       | 312/1250 [07:32<19:45,  1.26s/it]
Training 1/1 epoch (loss 2.4530):  25%|██▌       | 313/1250 [07:32<25:32,  1.64s/it]
Training 1/1 epoch (loss 2.6035):  25%|██▌       | 313/1250 [07:34<25:32,  1.64s/it]
Training 1/1 epoch (loss 2.6035):  25%|██▌       | 314/1250 [07:34<28:28,  1.83s/it]
Training 1/1 epoch (loss 2.7767):  25%|██▌       | 314/1250 [07:36<28:28,  1.83s/it]
Training 1/1 epoch (loss 2.7767):  25%|██▌       | 315/1250 [07:36<26:10,  1.68s/it]
Training 1/1 epoch (loss 2.6400):  25%|██▌       | 315/1250 [07:38<26:10,  1.68s/it]
Training 1/1 epoch (loss 2.6400):  25%|██▌       | 316/1250 [07:38<26:51,  1.73s/it]
Training 1/1 epoch (loss 2.7536):  25%|██▌       | 316/1250 [07:39<26:51,  1.73s/it]
Training 1/1 epoch (loss 2.7536):  25%|██▌       | 317/1250 [07:39<24:16,  1.56s/it]
Training 1/1 epoch (loss 2.8466):  25%|██▌       | 317/1250 [07:40<24:16,  1.56s/it]
Training 1/1 epoch (loss 2.8466):  25%|██▌       | 318/1250 [07:40<24:13,  1.56s/it]
Training 1/1 epoch (loss 2.6306):  25%|██▌       | 318/1250 [07:41<24:13,  1.56s/it]
Training 1/1 epoch (loss 2.6306):  26%|██▌       | 319/1250 [07:41<21:42,  1.40s/it]
Training 1/1 epoch (loss 2.7607):  26%|██▌       | 319/1250 [07:43<21:42,  1.40s/it]
Training 1/1 epoch (loss 2.7607):  26%|██▌       | 320/1250 [07:43<22:23,  1.44s/it]
Training 1/1 epoch (loss 2.6189):  26%|██▌       | 320/1250 [07:44<22:23,  1.44s/it]
Training 1/1 epoch (loss 2.6189):  26%|██▌       | 321/1250 [07:44<20:52,  1.35s/it]
Training 1/1 epoch (loss 2.7357):  26%|██▌       | 321/1250 [07:46<20:52,  1.35s/it]
Training 1/1 epoch (loss 2.7357):  26%|██▌       | 322/1250 [07:46<25:10,  1.63s/it]
Training 1/1 epoch (loss 2.5757):  26%|██▌       | 322/1250 [07:47<25:10,  1.63s/it]
Training 1/1 epoch (loss 2.5757):  26%|██▌       | 323/1250 [07:47<22:27,  1.45s/it]
Training 1/1 epoch (loss 2.8577):  26%|██▌       | 323/1250 [07:49<22:27,  1.45s/it]
Training 1/1 epoch (loss 2.8577):  26%|██▌       | 324/1250 [07:49<21:23,  1.39s/it]
Training 1/1 epoch (loss 2.4644):  26%|██▌       | 324/1250 [07:50<21:23,  1.39s/it]
Training 1/1 epoch (loss 2.4644):  26%|██▌       | 325/1250 [07:50<21:58,  1.43s/it]
Training 1/1 epoch (loss 2.7614):  26%|██▌       | 325/1250 [07:51<21:58,  1.43s/it]
Training 1/1 epoch (loss 2.7614):  26%|██▌       | 326/1250 [07:51<18:50,  1.22s/it]
Training 1/1 epoch (loss 2.5824):  26%|██▌       | 326/1250 [07:53<18:50,  1.22s/it]
Training 1/1 epoch (loss 2.5824):  26%|██▌       | 327/1250 [07:53<23:59,  1.56s/it]
Training 1/1 epoch (loss 2.4134):  26%|██▌       | 327/1250 [07:54<23:59,  1.56s/it]
Training 1/1 epoch (loss 2.4134):  26%|██▌       | 328/1250 [07:54<21:11,  1.38s/it]
Training 1/1 epoch (loss 2.9840):  26%|██▌       | 328/1250 [07:55<21:11,  1.38s/it]
Training 1/1 epoch (loss 2.9840):  26%|██▋       | 329/1250 [07:55<18:57,  1.23s/it]
Training 1/1 epoch (loss 2.5788):  26%|██▋       | 329/1250 [07:57<18:57,  1.23s/it]
Training 1/1 epoch (loss 2.5788):  26%|██▋       | 330/1250 [07:57<21:42,  1.42s/it]
Training 1/1 epoch (loss 2.6663):  26%|██▋       | 330/1250 [07:59<21:42,  1.42s/it]
Training 1/1 epoch (loss 2.6663):  26%|██▋       | 331/1250 [07:59<23:51,  1.56s/it]
Training 1/1 epoch (loss 2.8483):  26%|██▋       | 331/1250 [08:00<23:51,  1.56s/it]
Training 1/1 epoch (loss 2.8483):  27%|██▋       | 332/1250 [08:00<21:26,  1.40s/it]
Training 1/1 epoch (loss 2.6233):  27%|██▋       | 332/1250 [08:02<21:26,  1.40s/it]
Training 1/1 epoch (loss 2.6233):  27%|██▋       | 333/1250 [08:02<23:07,  1.51s/it]
Training 1/1 epoch (loss 2.7689):  27%|██▋       | 333/1250 [08:03<23:07,  1.51s/it]
Training 1/1 epoch (loss 2.7689):  27%|██▋       | 334/1250 [08:03<23:18,  1.53s/it]
Training 1/1 epoch (loss 2.6906):  27%|██▋       | 334/1250 [08:05<23:18,  1.53s/it]
Training 1/1 epoch (loss 2.6906):  27%|██▋       | 335/1250 [08:05<23:00,  1.51s/it]
Training 1/1 epoch (loss 2.8282):  27%|██▋       | 335/1250 [08:06<23:00,  1.51s/it]
Training 1/1 epoch (loss 2.8282):  27%|██▋       | 336/1250 [08:06<22:53,  1.50s/it]
Training 1/1 epoch (loss 2.9948):  27%|██▋       | 336/1250 [08:07<22:53,  1.50s/it]
Training 1/1 epoch (loss 2.9948):  27%|██▋       | 337/1250 [08:07<19:50,  1.30s/it]
Training 1/1 epoch (loss 2.7692):  27%|██▋       | 337/1250 [08:09<19:50,  1.30s/it]
Training 1/1 epoch (loss 2.7692):  27%|██▋       | 338/1250 [08:09<24:50,  1.63s/it]
Training 1/1 epoch (loss 2.7384):  27%|██▋       | 338/1250 [08:11<24:50,  1.63s/it]
Training 1/1 epoch (loss 2.7384):  27%|██▋       | 339/1250 [08:11<24:34,  1.62s/it]
Training 1/1 epoch (loss 2.7233):  27%|██▋       | 339/1250 [08:11<24:34,  1.62s/it]
Training 1/1 epoch (loss 2.7233):  27%|██▋       | 340/1250 [08:11<19:35,  1.29s/it]
Training 1/1 epoch (loss 2.5614):  27%|██▋       | 340/1250 [08:13<19:35,  1.29s/it]
Training 1/1 epoch (loss 2.5614):  27%|██▋       | 341/1250 [08:13<22:57,  1.52s/it]
Training 1/1 epoch (loss 2.6407):  27%|██▋       | 341/1250 [08:16<22:57,  1.52s/it]
Training 1/1 epoch (loss 2.6407):  27%|██▋       | 342/1250 [08:16<26:27,  1.75s/it]
Training 1/1 epoch (loss 2.5607):  27%|██▋       | 342/1250 [08:16<26:27,  1.75s/it]
Training 1/1 epoch (loss 2.5607):  27%|██▋       | 343/1250 [08:16<21:21,  1.41s/it]
Training 1/1 epoch (loss 2.7151):  27%|██▋       | 343/1250 [08:19<21:21,  1.41s/it]
Training 1/1 epoch (loss 2.7151):  28%|██▊       | 344/1250 [08:19<24:42,  1.64s/it]
Training 1/1 epoch (loss 2.6691):  28%|██▊       | 344/1250 [08:20<24:42,  1.64s/it]
Training 1/1 epoch (loss 2.6691):  28%|██▊       | 345/1250 [08:20<24:38,  1.63s/it]
Training 1/1 epoch (loss 2.6168):  28%|██▊       | 345/1250 [08:21<24:38,  1.63s/it]
Training 1/1 epoch (loss 2.6168):  28%|██▊       | 346/1250 [08:21<21:56,  1.46s/it]
Training 1/1 epoch (loss 2.7113):  28%|██▊       | 346/1250 [08:23<21:56,  1.46s/it]
Training 1/1 epoch (loss 2.7113):  28%|██▊       | 347/1250 [08:23<23:36,  1.57s/it]
Training 1/1 epoch (loss 2.8231):  28%|██▊       | 347/1250 [08:25<23:36,  1.57s/it]
Training 1/1 epoch (loss 2.8231):  28%|██▊       | 348/1250 [08:25<24:14,  1.61s/it]
Training 1/1 epoch (loss 2.6229):  28%|██▊       | 348/1250 [08:26<24:14,  1.61s/it]
Training 1/1 epoch (loss 2.6229):  28%|██▊       | 349/1250 [08:26<20:10,  1.34s/it]
Training 1/1 epoch (loss 2.8108):  28%|██▊       | 349/1250 [08:27<20:10,  1.34s/it]
Training 1/1 epoch (loss 2.8108):  28%|██▊       | 350/1250 [08:27<22:58,  1.53s/it]
Training 1/1 epoch (loss 2.6641):  28%|██▊       | 350/1250 [08:28<22:58,  1.53s/it]
Training 1/1 epoch (loss 2.6641):  28%|██▊       | 351/1250 [08:28<19:37,  1.31s/it]
Training 1/1 epoch (loss 2.8325):  28%|██▊       | 351/1250 [08:30<19:37,  1.31s/it]
Training 1/1 epoch (loss 2.8325):  28%|██▊       | 352/1250 [08:30<19:41,  1.32s/it]
Training 1/1 epoch (loss 2.8720):  28%|██▊       | 352/1250 [08:31<19:41,  1.32s/it]
Training 1/1 epoch (loss 2.8720):  28%|██▊       | 353/1250 [08:31<18:14,  1.22s/it]
Training 1/1 epoch (loss 2.7364):  28%|██▊       | 353/1250 [08:31<18:14,  1.22s/it]
Training 1/1 epoch (loss 2.7364):  28%|██▊       | 354/1250 [08:31<15:25,  1.03s/it]
Training 1/1 epoch (loss 2.5654):  28%|██▊       | 354/1250 [08:33<15:25,  1.03s/it]
Training 1/1 epoch (loss 2.5654):  28%|██▊       | 355/1250 [08:33<19:10,  1.29s/it]
Training 1/1 epoch (loss 2.6753):  28%|██▊       | 355/1250 [08:35<19:10,  1.29s/it]
Training 1/1 epoch (loss 2.6753):  28%|██▊       | 356/1250 [08:35<24:16,  1.63s/it]
Training 1/1 epoch (loss 2.8613):  28%|██▊       | 356/1250 [08:36<24:16,  1.63s/it]
Training 1/1 epoch (loss 2.8613):  29%|██▊       | 357/1250 [08:36<18:49,  1.26s/it]
Training 1/1 epoch (loss 2.8234):  29%|██▊       | 357/1250 [08:38<18:49,  1.26s/it]
Training 1/1 epoch (loss 2.8234):  29%|██▊       | 358/1250 [08:38<20:17,  1.37s/it]
Training 1/1 epoch (loss 2.6897):  29%|██▊       | 358/1250 [08:40<20:17,  1.37s/it]
Training 1/1 epoch (loss 2.6897):  29%|██▊       | 359/1250 [08:40<24:34,  1.65s/it]
Training 1/1 epoch (loss 2.5079):  29%|██▊       | 359/1250 [08:41<24:34,  1.65s/it]
Training 1/1 epoch (loss 2.5079):  29%|██▉       | 360/1250 [08:41<23:15,  1.57s/it]
Training 1/1 epoch (loss 2.5793):  29%|██▉       | 360/1250 [08:43<23:15,  1.57s/it]
Training 1/1 epoch (loss 2.5793):  29%|██▉       | 361/1250 [08:43<25:43,  1.74s/it]
Training 1/1 epoch (loss 2.6932):  29%|██▉       | 361/1250 [08:45<25:43,  1.74s/it]
Training 1/1 epoch (loss 2.6932):  29%|██▉       | 362/1250 [08:45<23:09,  1.57s/it]
Training 1/1 epoch (loss 2.7206):  29%|██▉       | 362/1250 [08:47<23:09,  1.57s/it]
Training 1/1 epoch (loss 2.7206):  29%|██▉       | 363/1250 [08:47<25:21,  1.72s/it]
Training 1/1 epoch (loss 2.8265):  29%|██▉       | 363/1250 [08:48<25:21,  1.72s/it]
Training 1/1 epoch (loss 2.8265):  29%|██▉       | 364/1250 [08:48<25:54,  1.75s/it]
Training 1/1 epoch (loss 2.5881):  29%|██▉       | 364/1250 [08:49<25:54,  1.75s/it]
Training 1/1 epoch (loss 2.5881):  29%|██▉       | 365/1250 [08:49<20:53,  1.42s/it]
Training 1/1 epoch (loss 2.4634):  29%|██▉       | 365/1250 [08:51<20:53,  1.42s/it]
Training 1/1 epoch (loss 2.4634):  29%|██▉       | 366/1250 [08:51<23:28,  1.59s/it]
Training 1/1 epoch (loss 2.5737):  29%|██▉       | 366/1250 [08:53<23:28,  1.59s/it]
Training 1/1 epoch (loss 2.5737):  29%|██▉       | 367/1250 [08:53<23:09,  1.57s/it]
Training 1/1 epoch (loss 2.6291):  29%|██▉       | 367/1250 [08:53<23:09,  1.57s/it]
Training 1/1 epoch (loss 2.6291):  29%|██▉       | 368/1250 [08:53<18:38,  1.27s/it]
Training 1/1 epoch (loss 2.7368):  29%|██▉       | 368/1250 [08:56<18:38,  1.27s/it]
Training 1/1 epoch (loss 2.7368):  30%|██▉       | 369/1250 [08:56<23:43,  1.62s/it]
Training 1/1 epoch (loss 2.8339):  30%|██▉       | 369/1250 [08:57<23:43,  1.62s/it]
Training 1/1 epoch (loss 2.8339):  30%|██▉       | 370/1250 [08:57<23:26,  1.60s/it]
Training 1/1 epoch (loss 2.5652):  30%|██▉       | 370/1250 [08:59<23:26,  1.60s/it]
Training 1/1 epoch (loss 2.5652):  30%|██▉       | 371/1250 [08:59<22:45,  1.55s/it]
Training 1/1 epoch (loss 2.6569):  30%|██▉       | 371/1250 [09:00<22:45,  1.55s/it]
Training 1/1 epoch (loss 2.6569):  30%|██▉       | 372/1250 [09:00<23:19,  1.59s/it]
Training 1/1 epoch (loss 2.6393):  30%|██▉       | 372/1250 [09:02<23:19,  1.59s/it]
Training 1/1 epoch (loss 2.6393):  30%|██▉       | 373/1250 [09:02<22:12,  1.52s/it]
Training 1/1 epoch (loss 2.4232):  30%|██▉       | 373/1250 [09:04<22:12,  1.52s/it]
Training 1/1 epoch (loss 2.4232):  30%|██▉       | 374/1250 [09:04<25:29,  1.75s/it]
Training 1/1 epoch (loss 2.7027):  30%|██▉       | 374/1250 [09:05<25:29,  1.75s/it]
Training 1/1 epoch (loss 2.7027):  30%|███       | 375/1250 [09:05<23:35,  1.62s/it]
Training 1/1 epoch (loss 2.8797):  30%|███       | 375/1250 [09:06<23:35,  1.62s/it]
Training 1/1 epoch (loss 2.8797):  30%|███       | 376/1250 [09:06<19:32,  1.34s/it]
Training 1/1 epoch (loss 2.8009):  30%|███       | 376/1250 [09:08<19:32,  1.34s/it]
Training 1/1 epoch (loss 2.8009):  30%|███       | 377/1250 [09:08<22:40,  1.56s/it]
Training 1/1 epoch (loss 2.6659):  30%|███       | 377/1250 [09:09<22:40,  1.56s/it]
Training 1/1 epoch (loss 2.6659):  30%|███       | 378/1250 [09:09<22:05,  1.52s/it]
Training 1/1 epoch (loss 2.5181):  30%|███       | 378/1250 [09:10<22:05,  1.52s/it]
Training 1/1 epoch (loss 2.5181):  30%|███       | 379/1250 [09:10<19:00,  1.31s/it]
Training 1/1 epoch (loss 2.7345):  30%|███       | 379/1250 [09:11<19:00,  1.31s/it]
Training 1/1 epoch (loss 2.7345):  30%|███       | 380/1250 [09:11<17:57,  1.24s/it]
Training 1/1 epoch (loss 2.7507):  30%|███       | 380/1250 [09:12<17:57,  1.24s/it]
Training 1/1 epoch (loss 2.7507):  30%|███       | 381/1250 [09:12<17:26,  1.20s/it]
Training 1/1 epoch (loss 2.8318):  30%|███       | 381/1250 [09:14<17:26,  1.20s/it]
Training 1/1 epoch (loss 2.8318):  31%|███       | 382/1250 [09:14<17:51,  1.23s/it]
Training 1/1 epoch (loss 2.6918):  31%|███       | 382/1250 [09:15<17:51,  1.23s/it]
Training 1/1 epoch (loss 2.6918):  31%|███       | 383/1250 [09:15<19:17,  1.34s/it]
Training 1/1 epoch (loss 2.5524):  31%|███       | 383/1250 [09:16<19:17,  1.34s/it]
Training 1/1 epoch (loss 2.5524):  31%|███       | 384/1250 [09:16<18:41,  1.29s/it]
Training 1/1 epoch (loss 2.6362):  31%|███       | 384/1250 [09:17<18:41,  1.29s/it]
Training 1/1 epoch (loss 2.6362):  31%|███       | 385/1250 [09:17<16:30,  1.15s/it]
Training 1/1 epoch (loss 2.4848):  31%|███       | 385/1250 [09:19<16:30,  1.15s/it]
Training 1/1 epoch (loss 2.4848):  31%|███       | 386/1250 [09:19<20:04,  1.39s/it]
Training 1/1 epoch (loss 2.5539):  31%|███       | 386/1250 [09:20<20:04,  1.39s/it]
Training 1/1 epoch (loss 2.5539):  31%|███       | 387/1250 [09:20<17:43,  1.23s/it]
Training 1/1 epoch (loss 2.6427):  31%|███       | 387/1250 [09:21<17:43,  1.23s/it]
Training 1/1 epoch (loss 2.6427):  31%|███       | 388/1250 [09:21<16:23,  1.14s/it]
Training 1/1 epoch (loss 2.7234):  31%|███       | 388/1250 [09:23<16:23,  1.14s/it]
Training 1/1 epoch (loss 2.7234):  31%|███       | 389/1250 [09:23<18:34,  1.29s/it]
Training 1/1 epoch (loss 2.6589):  31%|███       | 389/1250 [09:24<18:34,  1.29s/it]
Training 1/1 epoch (loss 2.6589):  31%|███       | 390/1250 [09:24<19:11,  1.34s/it]
Training 1/1 epoch (loss 2.8580):  31%|███       | 390/1250 [09:25<19:11,  1.34s/it]
Training 1/1 epoch (loss 2.8580):  31%|███▏      | 391/1250 [09:25<19:10,  1.34s/it]
Training 1/1 epoch (loss 2.7211):  31%|███▏      | 391/1250 [09:28<19:10,  1.34s/it]
Training 1/1 epoch (loss 2.7211):  31%|███▏      | 392/1250 [09:28<22:36,  1.58s/it]
Training 1/1 epoch (loss 2.8142):  31%|███▏      | 392/1250 [09:28<22:36,  1.58s/it]
Training 1/1 epoch (loss 2.8142):  31%|███▏      | 393/1250 [09:28<18:34,  1.30s/it]
Training 1/1 epoch (loss 2.5563):  31%|███▏      | 393/1250 [09:30<18:34,  1.30s/it]
Training 1/1 epoch (loss 2.5563):  32%|███▏      | 394/1250 [09:30<19:57,  1.40s/it]
Training 1/1 epoch (loss 2.4111):  32%|███▏      | 394/1250 [09:31<19:57,  1.40s/it]
Training 1/1 epoch (loss 2.4111):  32%|███▏      | 395/1250 [09:31<20:25,  1.43s/it]
Training 1/1 epoch (loss 2.6066):  32%|███▏      | 395/1250 [09:32<20:25,  1.43s/it]
Training 1/1 epoch (loss 2.6066):  32%|███▏      | 396/1250 [09:32<17:27,  1.23s/it]
Training 1/1 epoch (loss 2.4284):  32%|███▏      | 396/1250 [09:33<17:27,  1.23s/it]
Training 1/1 epoch (loss 2.4284):  32%|███▏      | 397/1250 [09:33<17:10,  1.21s/it]
Training 1/1 epoch (loss 2.5165):  32%|███▏      | 397/1250 [09:35<17:10,  1.21s/it]
Training 1/1 epoch (loss 2.5165):  32%|███▏      | 398/1250 [09:35<18:34,  1.31s/it]
Training 1/1 epoch (loss 2.7199):  32%|███▏      | 398/1250 [09:36<18:34,  1.31s/it]
Training 1/1 epoch (loss 2.7199):  32%|███▏      | 399/1250 [09:36<16:14,  1.14s/it]
Training 1/1 epoch (loss 2.7608):  32%|███▏      | 399/1250 [09:38<16:14,  1.14s/it]
Training 1/1 epoch (loss 2.7608):  32%|███▏      | 400/1250 [09:38<22:34,  1.59s/it]
Training 1/1 epoch (loss 2.5263):  32%|███▏      | 400/1250 [09:39<22:34,  1.59s/it]
Training 1/1 epoch (loss 2.5263):  32%|███▏      | 401/1250 [09:39<20:47,  1.47s/it]
Training 1/1 epoch (loss 2.8479):  32%|███▏      | 401/1250 [09:42<20:47,  1.47s/it]
Training 1/1 epoch (loss 2.8479):  32%|███▏      | 402/1250 [09:42<24:47,  1.75s/it]
Training 1/1 epoch (loss 2.7594):  32%|███▏      | 402/1250 [09:44<24:47,  1.75s/it]
Training 1/1 epoch (loss 2.7594):  32%|███▏      | 403/1250 [09:44<27:52,  1.98s/it]
Training 1/1 epoch (loss 2.5077):  32%|███▏      | 403/1250 [09:45<27:52,  1.98s/it]
Training 1/1 epoch (loss 2.5077):  32%|███▏      | 404/1250 [09:45<22:07,  1.57s/it]
Training 1/1 epoch (loss 2.6691):  32%|███▏      | 404/1250 [09:47<22:07,  1.57s/it]
Training 1/1 epoch (loss 2.6691):  32%|███▏      | 405/1250 [09:47<23:54,  1.70s/it]
Training 1/1 epoch (loss 2.6612):  32%|███▏      | 405/1250 [09:49<23:54,  1.70s/it]
Training 1/1 epoch (loss 2.6612):  32%|███▏      | 406/1250 [09:49<23:49,  1.69s/it]
Training 1/1 epoch (loss 2.5584):  32%|███▏      | 406/1250 [09:50<23:49,  1.69s/it]
Training 1/1 epoch (loss 2.5584):  33%|███▎      | 407/1250 [09:50<20:19,  1.45s/it]
Training 1/1 epoch (loss 2.6658):  33%|███▎      | 407/1250 [09:52<20:19,  1.45s/it]
Training 1/1 epoch (loss 2.6658):  33%|███▎      | 408/1250 [09:52<22:52,  1.63s/it]
Training 1/1 epoch (loss 2.8191):  33%|███▎      | 408/1250 [09:53<22:52,  1.63s/it]
Training 1/1 epoch (loss 2.8191):  33%|███▎      | 409/1250 [09:53<20:56,  1.49s/it]
Training 1/1 epoch (loss 2.8488):  33%|███▎      | 409/1250 [09:54<20:56,  1.49s/it]
Training 1/1 epoch (loss 2.8488):  33%|███▎      | 410/1250 [09:54<18:22,  1.31s/it]
Training 1/1 epoch (loss 2.6133):  33%|███▎      | 410/1250 [09:55<18:22,  1.31s/it]
Training 1/1 epoch (loss 2.6133):  33%|███▎      | 411/1250 [09:55<19:13,  1.38s/it]
Training 1/1 epoch (loss 2.4729):  33%|███▎      | 411/1250 [09:56<19:13,  1.38s/it]
Training 1/1 epoch (loss 2.4729):  33%|███▎      | 412/1250 [09:56<17:48,  1.28s/it]
Training 1/1 epoch (loss 2.6187):  33%|███▎      | 412/1250 [09:58<17:48,  1.28s/it]
Training 1/1 epoch (loss 2.6187):  33%|███▎      | 413/1250 [09:58<20:32,  1.47s/it]
Training 1/1 epoch (loss 2.7751):  33%|███▎      | 413/1250 [09:59<20:32,  1.47s/it]
Training 1/1 epoch (loss 2.7751):  33%|███▎      | 414/1250 [09:59<19:50,  1.42s/it]
Training 1/1 epoch (loss 2.6552):  33%|███▎      | 414/1250 [10:00<19:50,  1.42s/it]
Training 1/1 epoch (loss 2.6552):  33%|███▎      | 415/1250 [10:00<16:10,  1.16s/it]
Training 1/1 epoch (loss 2.7628):  33%|███▎      | 415/1250 [10:02<16:10,  1.16s/it]
Training 1/1 epoch (loss 2.7628):  33%|███▎      | 416/1250 [10:02<18:22,  1.32s/it]
Training 1/1 epoch (loss 2.8229):  33%|███▎      | 416/1250 [10:04<18:22,  1.32s/it]
Training 1/1 epoch (loss 2.8229):  33%|███▎      | 417/1250 [10:04<21:28,  1.55s/it]
Training 1/1 epoch (loss 2.6713):  33%|███▎      | 417/1250 [10:04<21:28,  1.55s/it]
Training 1/1 epoch (loss 2.6713):  33%|███▎      | 418/1250 [10:04<17:21,  1.25s/it]
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Training 1/1 epoch (loss 2.6021):  34%|███▎      | 421/1250 [10:09<14:07,  1.02s/it]
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Training 1/1 epoch (loss 2.6105):  34%|███▍      | 422/1250 [10:10<15:49,  1.15s/it]
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Training 1/1 epoch (loss 2.6038):  34%|███▍      | 423/1250 [10:12<17:20,  1.26s/it]
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Training 1/1 epoch (loss 2.8084):  34%|███▍      | 424/1250 [10:13<17:40,  1.28s/it]
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Training 1/1 epoch (loss 2.8642):  34%|███▍      | 425/1250 [10:14<19:44,  1.44s/it]
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Training 1/1 epoch (loss 2.6890):  34%|███▍      | 426/1250 [10:16<15:34,  1.13s/it]
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Training 1/1 epoch (loss 2.6146):  34%|███▍      | 427/1250 [10:18<19:20,  1.41s/it]
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Training 1/1 epoch (loss 2.6196):  34%|███▍      | 428/1250 [10:19<21:25,  1.56s/it]
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Training 1/1 epoch (loss 2.4933):  34%|███▍      | 429/1250 [10:21<19:03,  1.39s/it]
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Training 1/1 epoch (loss 2.6314):  34%|███▍      | 430/1250 [10:22<20:47,  1.52s/it]
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Training 1/1 epoch (loss 2.7320):  34%|███▍      | 431/1250 [10:23<20:25,  1.50s/it]
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Training 1/1 epoch (loss 2.6160):  35%|███▍      | 432/1250 [10:25<20:02,  1.47s/it]
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Training 1/1 epoch (loss 2.7768):  35%|███▍      | 433/1250 [10:26<19:07,  1.40s/it]
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Training 1/1 epoch (loss 2.7672):  35%|███▍      | 434/1250 [10:27<17:00,  1.25s/it]
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Training 1/1 epoch (loss 2.8155):  35%|███▍      | 435/1250 [10:29<16:32,  1.22s/it]
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Training 1/1 epoch (loss 2.6080):  35%|███▍      | 436/1250 [10:29<19:16,  1.42s/it]
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Training 1/1 epoch (loss 2.5693):  35%|███▍      | 437/1250 [10:32<15:43,  1.16s/it]
Training 1/1 epoch (loss 2.5693):  35%|███▌      | 438/1250 [10:32<20:43,  1.53s/it]
Training 1/1 epoch (loss 2.7279):  35%|███▌      | 438/1250 [10:34<20:43,  1.53s/it]
Training 1/1 epoch (loss 2.7279):  35%|███▌      | 439/1250 [10:34<24:19,  1.80s/it]
Training 1/1 epoch (loss 2.9884):  35%|███▌      | 439/1250 [10:35<24:19,  1.80s/it]
Training 1/1 epoch (loss 2.9884):  35%|███▌      | 440/1250 [10:35<19:46,  1.46s/it]
Training 1/1 epoch (loss 2.5583):  35%|███▌      | 440/1250 [10:37<19:46,  1.46s/it]
Training 1/1 epoch (loss 2.5583):  35%|███▌      | 441/1250 [10:37<22:34,  1.67s/it]
Training 1/1 epoch (loss 2.6308):  35%|███▌      | 441/1250 [10:38<22:34,  1.67s/it]
Training 1/1 epoch (loss 2.6308):  35%|███▌      | 442/1250 [10:38<21:14,  1.58s/it]
Training 1/1 epoch (loss 2.6247):  35%|███▌      | 442/1250 [10:40<21:14,  1.58s/it]
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Training 1/1 epoch (loss 2.8495):  35%|███▌      | 443/1250 [10:41<20:36,  1.53s/it]
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Training 1/1 epoch (loss 2.6094):  36%|███▌      | 444/1250 [10:42<19:24,  1.45s/it]
Training 1/1 epoch (loss 2.6094):  36%|███▌      | 445/1250 [10:42<20:00,  1.49s/it]
Training 1/1 epoch (loss 2.5652):  36%|███▌      | 445/1250 [10:44<20:00,  1.49s/it]
Training 1/1 epoch (loss 2.5652):  36%|███▌      | 446/1250 [10:44<21:14,  1.58s/it]
Training 1/1 epoch (loss 2.6748):  36%|███▌      | 446/1250 [10:47<21:14,  1.58s/it]
Training 1/1 epoch (loss 2.6748):  36%|███▌      | 447/1250 [10:47<24:44,  1.85s/it]
Training 1/1 epoch (loss 2.5228):  36%|███▌      | 447/1250 [10:48<24:44,  1.85s/it]
Training 1/1 epoch (loss 2.5228):  36%|███▌      | 448/1250 [10:48<21:11,  1.58s/it]
Training 1/1 epoch (loss 2.7304):  36%|███▌      | 448/1250 [10:50<21:11,  1.58s/it]
Training 1/1 epoch (loss 2.7304):  36%|███▌      | 449/1250 [10:50<25:05,  1.88s/it]
Training 1/1 epoch (loss 2.6408):  36%|███▌      | 449/1250 [10:52<25:05,  1.88s/it]
Training 1/1 epoch (loss 2.6408):  36%|███▌      | 450/1250 [10:52<23:06,  1.73s/it]
Training 1/1 epoch (loss 2.6087):  36%|███▌      | 450/1250 [10:52<23:06,  1.73s/it]
Training 1/1 epoch (loss 2.6087):  36%|███▌      | 451/1250 [10:52<18:43,  1.41s/it]
Training 1/1 epoch (loss 2.5890):  36%|███▌      | 451/1250 [10:54<18:43,  1.41s/it]
Training 1/1 epoch (loss 2.5890):  36%|███▌      | 452/1250 [10:54<20:44,  1.56s/it]
Training 1/1 epoch (loss 2.7193):  36%|███▌      | 452/1250 [10:55<20:44,  1.56s/it]
Training 1/1 epoch (loss 2.7193):  36%|███▌      | 453/1250 [10:55<19:04,  1.44s/it]
Training 1/1 epoch (loss 2.6947):  36%|███▌      | 453/1250 [10:56<19:04,  1.44s/it]
Training 1/1 epoch (loss 2.6947):  36%|███▋      | 454/1250 [10:56<17:00,  1.28s/it]
Training 1/1 epoch (loss 2.6451):  36%|███▋      | 454/1250 [10:58<17:00,  1.28s/it]
Training 1/1 epoch (loss 2.6451):  36%|███▋      | 455/1250 [10:58<19:48,  1.50s/it]
Training 1/1 epoch (loss 2.7738):  36%|███▋      | 455/1250 [11:00<19:48,  1.50s/it]
Training 1/1 epoch (loss 2.7738):  36%|███▋      | 456/1250 [11:00<20:11,  1.53s/it]
Training 1/1 epoch (loss 2.8372):  36%|███▋      | 456/1250 [11:01<20:11,  1.53s/it]
Training 1/1 epoch (loss 2.8372):  37%|███▋      | 457/1250 [11:01<17:40,  1.34s/it]
Training 1/1 epoch (loss 2.6663):  37%|███▋      | 457/1250 [11:03<17:40,  1.34s/it]
Training 1/1 epoch (loss 2.6663):  37%|███▋      | 458/1250 [11:03<20:16,  1.54s/it]
Training 1/1 epoch (loss 2.9013):  37%|███▋      | 458/1250 [11:04<20:16,  1.54s/it]
Training 1/1 epoch (loss 2.9013):  37%|███▋      | 459/1250 [11:04<18:09,  1.38s/it]
Training 1/1 epoch (loss 2.7456):  37%|███▋      | 459/1250 [11:05<18:09,  1.38s/it]
Training 1/1 epoch (loss 2.7456):  37%|███▋      | 460/1250 [11:05<19:22,  1.47s/it]
Training 1/1 epoch (loss 2.5533):  37%|███▋      | 460/1250 [11:07<19:22,  1.47s/it]
Training 1/1 epoch (loss 2.5533):  37%|███▋      | 461/1250 [11:07<18:11,  1.38s/it]
Training 1/1 epoch (loss 2.5904):  37%|███▋      | 461/1250 [11:07<18:11,  1.38s/it]
Training 1/1 epoch (loss 2.5904):  37%|███▋      | 462/1250 [11:07<15:42,  1.20s/it]
Training 1/1 epoch (loss 2.7028):  37%|███▋      | 462/1250 [11:09<15:42,  1.20s/it]
Training 1/1 epoch (loss 2.7028):  37%|███▋      | 463/1250 [11:09<17:21,  1.32s/it]
Training 1/1 epoch (loss 2.5791):  37%|███▋      | 463/1250 [11:10<17:21,  1.32s/it]
Training 1/1 epoch (loss 2.5791):  37%|███▋      | 464/1250 [11:10<18:08,  1.38s/it]
Training 1/1 epoch (loss 2.3955):  37%|███▋      | 464/1250 [11:11<18:08,  1.38s/it]
Training 1/1 epoch (loss 2.3955):  37%|███▋      | 465/1250 [11:11<15:16,  1.17s/it]
Training 1/1 epoch (loss 2.5013):  37%|███▋      | 465/1250 [11:14<15:16,  1.17s/it]
Training 1/1 epoch (loss 2.5013):  37%|███▋      | 466/1250 [11:14<20:22,  1.56s/it]
Training 1/1 epoch (loss 2.5626):  37%|███▋      | 466/1250 [11:15<20:22,  1.56s/it]
Training 1/1 epoch (loss 2.5626):  37%|███▋      | 467/1250 [11:15<21:31,  1.65s/it]
Training 1/1 epoch (loss 2.7239):  37%|███▋      | 467/1250 [11:16<21:31,  1.65s/it]
Training 1/1 epoch (loss 2.7239):  37%|███▋      | 468/1250 [11:16<17:02,  1.31s/it]
Training 1/1 epoch (loss 2.7522):  37%|███▋      | 468/1250 [11:17<17:02,  1.31s/it]
Training 1/1 epoch (loss 2.7522):  38%|███▊      | 469/1250 [11:17<17:17,  1.33s/it]
Training 1/1 epoch (loss 2.7546):  38%|███▊      | 469/1250 [11:19<17:17,  1.33s/it]
Training 1/1 epoch (loss 2.7546):  38%|███▊      | 470/1250 [11:19<18:36,  1.43s/it]
Training 1/1 epoch (loss 2.7923):  38%|███▊      | 470/1250 [11:20<18:36,  1.43s/it]
Training 1/1 epoch (loss 2.7923):  38%|███▊      | 471/1250 [11:20<16:25,  1.27s/it]
Training 1/1 epoch (loss 2.5788):  38%|███▊      | 471/1250 [11:22<16:25,  1.27s/it]
Training 1/1 epoch (loss 2.5788):  38%|███▊      | 472/1250 [11:22<19:26,  1.50s/it]
Training 1/1 epoch (loss 2.5995):  38%|███▊      | 472/1250 [11:23<19:26,  1.50s/it]
Training 1/1 epoch (loss 2.5995):  38%|███▊      | 473/1250 [11:23<18:45,  1.45s/it]
Training 1/1 epoch (loss 2.5392):  38%|███▊      | 473/1250 [11:25<18:45,  1.45s/it]
Training 1/1 epoch (loss 2.5392):  38%|███▊      | 474/1250 [11:25<20:36,  1.59s/it]
Training 1/1 epoch (loss 2.6292):  38%|███▊      | 474/1250 [11:27<20:36,  1.59s/it]
Training 1/1 epoch (loss 2.6292):  38%|███▊      | 475/1250 [11:27<19:28,  1.51s/it]
Training 1/1 epoch (loss 2.7298):  38%|███▊      | 475/1250 [11:27<19:28,  1.51s/it]
Training 1/1 epoch (loss 2.7298):  38%|███▊      | 476/1250 [11:27<16:11,  1.26s/it]
Training 1/1 epoch (loss 2.7148):  38%|███▊      | 476/1250 [11:29<16:11,  1.26s/it]
Training 1/1 epoch (loss 2.7148):  38%|███▊      | 477/1250 [11:29<19:04,  1.48s/it]
Training 1/1 epoch (loss 2.8425):  38%|███▊      | 477/1250 [11:31<19:04,  1.48s/it]
Training 1/1 epoch (loss 2.8425):  38%|███▊      | 478/1250 [11:31<20:38,  1.60s/it]
Training 1/1 epoch (loss 2.6144):  38%|███▊      | 478/1250 [11:32<20:38,  1.60s/it]
Training 1/1 epoch (loss 2.6144):  38%|███▊      | 479/1250 [11:32<18:08,  1.41s/it]
Training 1/1 epoch (loss 2.6559):  38%|███▊      | 479/1250 [11:35<18:08,  1.41s/it]
Training 1/1 epoch (loss 2.6559):  38%|███▊      | 480/1250 [11:35<23:06,  1.80s/it]
Training 1/1 epoch (loss 2.6354):  38%|███▊      | 480/1250 [11:36<23:06,  1.80s/it]
Training 1/1 epoch (loss 2.6354):  38%|███▊      | 481/1250 [11:36<19:50,  1.55s/it]
Training 1/1 epoch (loss 2.8414):  38%|███▊      | 481/1250 [11:37<19:50,  1.55s/it]
Training 1/1 epoch (loss 2.8414):  39%|███▊      | 482/1250 [11:37<19:44,  1.54s/it]
Training 1/1 epoch (loss 2.5825):  39%|███▊      | 482/1250 [11:39<19:44,  1.54s/it]
Training 1/1 epoch (loss 2.5825):  39%|███▊      | 483/1250 [11:39<20:23,  1.60s/it]
Training 1/1 epoch (loss 2.4990):  39%|███▊      | 483/1250 [11:40<20:23,  1.60s/it]
Training 1/1 epoch (loss 2.4990):  39%|███▊      | 484/1250 [11:40<18:36,  1.46s/it]
Training 1/1 epoch (loss 2.5440):  39%|███▊      | 484/1250 [11:42<18:36,  1.46s/it]
Training 1/1 epoch (loss 2.5440):  39%|███▉      | 485/1250 [11:42<18:51,  1.48s/it]
Training 1/1 epoch (loss 2.6909):  39%|███▉      | 485/1250 [11:43<18:51,  1.48s/it]
Training 1/1 epoch (loss 2.6909):  39%|███▉      | 486/1250 [11:43<19:35,  1.54s/it]
Training 1/1 epoch (loss 2.6625):  39%|███▉      | 486/1250 [11:44<19:35,  1.54s/it]
Training 1/1 epoch (loss 2.6625):  39%|███▉      | 487/1250 [11:44<15:37,  1.23s/it]
Training 1/1 epoch (loss 2.5128):  39%|███▉      | 487/1250 [11:46<15:37,  1.23s/it]
Training 1/1 epoch (loss 2.5128):  39%|███▉      | 488/1250 [11:46<18:08,  1.43s/it]
Training 1/1 epoch (loss 2.6997):  39%|███▉      | 488/1250 [11:47<18:08,  1.43s/it]
Training 1/1 epoch (loss 2.6997):  39%|███▉      | 489/1250 [11:47<19:10,  1.51s/it]
Training 1/1 epoch (loss 2.8731):  39%|███▉      | 489/1250 [11:49<19:10,  1.51s/it]
Training 1/1 epoch (loss 2.8731):  39%|███▉      | 490/1250 [11:49<21:01,  1.66s/it]
Training 1/1 epoch (loss 2.6987):  39%|███▉      | 490/1250 [11:51<21:01,  1.66s/it]
Training 1/1 epoch (loss 2.6987):  39%|███▉      | 491/1250 [11:51<20:07,  1.59s/it]
Training 1/1 epoch (loss 2.6264):  39%|███▉      | 491/1250 [11:52<20:07,  1.59s/it]
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Training 1/1 epoch (loss 2.7255):  39%|███▉      | 492/1250 [11:54<17:24,  1.38s/it]
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Training 1/1 epoch (loss 2.4759):  39%|███▉      | 493/1250 [11:55<19:25,  1.54s/it]
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Training 1/1 epoch (loss 2.7911):  40%|███▉      | 494/1250 [11:56<17:52,  1.42s/it]
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Training 1/1 epoch (loss 2.7201):  40%|███▉      | 495/1250 [11:57<15:41,  1.25s/it]
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Training 1/1 epoch (loss 2.5624):  40%|███▉      | 496/1250 [11:59<17:39,  1.40s/it]
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Training 1/1 epoch (loss 2.7950):  40%|███▉      | 497/1250 [12:00<18:25,  1.47s/it]
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Training 1/1 epoch (loss 2.7069):  40%|████      | 500/1250 [12:05<15:46,  1.26s/it]
Training 1/1 epoch (loss 2.7069):  40%|████      | 501/1250 [12:05<20:21,  1.63s/it]
Training 1/1 epoch (loss 2.8279):  40%|████      | 501/1250 [12:07<20:21,  1.63s/it]
Training 1/1 epoch (loss 2.8279):  40%|████      | 502/1250 [12:07<22:12,  1.78s/it]
Training 1/1 epoch (loss 2.9321):  40%|████      | 502/1250 [12:08<22:12,  1.78s/it]
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Training 1/1 epoch (loss 2.5204):  40%|████      | 503/1250 [12:10<17:08,  1.38s/it]
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Training 1/1 epoch (loss 2.8400):  40%|████      | 504/1250 [12:12<21:15,  1.71s/it]
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Training 1/1 epoch (loss 2.8484):  40%|████      | 505/1250 [12:13<22:53,  1.84s/it]
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Training 1/1 epoch (loss 2.6631):  40%|████      | 506/1250 [12:15<20:02,  1.62s/it]
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Training 1/1 epoch (loss 2.6624):  41%|████      | 507/1250 [12:16<19:46,  1.60s/it]
Training 1/1 epoch (loss 2.6624):  41%|████      | 508/1250 [12:16<19:11,  1.55s/it]
Training 1/1 epoch (loss 2.7015):  41%|████      | 508/1250 [12:18<19:11,  1.55s/it]
Training 1/1 epoch (loss 2.7015):  41%|████      | 509/1250 [12:18<18:30,  1.50s/it]
Training 1/1 epoch (loss 2.5881):  41%|████      | 509/1250 [12:19<18:30,  1.50s/it]
Training 1/1 epoch (loss 2.5881):  41%|████      | 510/1250 [12:19<17:03,  1.38s/it]
Training 1/1 epoch (loss 2.6135):  41%|████      | 510/1250 [12:20<17:03,  1.38s/it]
Training 1/1 epoch (loss 2.6135):  41%|████      | 511/1250 [12:20<16:08,  1.31s/it]
Training 1/1 epoch (loss 2.6448):  41%|████      | 511/1250 [12:21<16:08,  1.31s/it]
Training 1/1 epoch (loss 2.6448):  41%|████      | 512/1250 [12:21<14:41,  1.19s/it]
Training 1/1 epoch (loss 2.6987):  41%|████      | 512/1250 [12:22<14:41,  1.19s/it]
Training 1/1 epoch (loss 2.6987):  41%|████      | 513/1250 [12:22<13:34,  1.11s/it]
Training 1/1 epoch (loss 2.5636):  41%|████      | 513/1250 [12:23<13:34,  1.11s/it]
Training 1/1 epoch (loss 2.5636):  41%|████      | 514/1250 [12:23<13:07,  1.07s/it]
Training 1/1 epoch (loss 2.5543):  41%|████      | 514/1250 [12:24<13:07,  1.07s/it]
Training 1/1 epoch (loss 2.5543):  41%|████      | 515/1250 [12:24<13:55,  1.14s/it]
Training 1/1 epoch (loss 2.6529):  41%|████      | 515/1250 [12:26<13:55,  1.14s/it]
Training 1/1 epoch (loss 2.6529):  41%|████▏     | 516/1250 [12:26<16:27,  1.34s/it]
Training 1/1 epoch (loss 2.7930):  41%|████▏     | 516/1250 [12:27<16:27,  1.34s/it]
Training 1/1 epoch (loss 2.7930):  41%|████▏     | 517/1250 [12:27<14:30,  1.19s/it]
Training 1/1 epoch (loss 2.6596):  41%|████▏     | 517/1250 [12:28<14:30,  1.19s/it]
Training 1/1 epoch (loss 2.6596):  41%|████▏     | 518/1250 [12:28<15:20,  1.26s/it]
Training 1/1 epoch (loss 2.6193):  41%|████▏     | 518/1250 [12:30<15:20,  1.26s/it]
Training 1/1 epoch (loss 2.6193):  42%|████▏     | 519/1250 [12:30<18:25,  1.51s/it]
Training 1/1 epoch (loss 2.5132):  42%|████▏     | 519/1250 [12:31<18:25,  1.51s/it]
Training 1/1 epoch (loss 2.5132):  42%|████▏     | 520/1250 [12:31<15:34,  1.28s/it]
Training 1/1 epoch (loss 2.7778):  42%|████▏     | 520/1250 [12:34<15:34,  1.28s/it]
Training 1/1 epoch (loss 2.7778):  42%|████▏     | 521/1250 [12:34<19:44,  1.62s/it]
Training 1/1 epoch (loss 2.7397):  42%|████▏     | 521/1250 [12:35<19:44,  1.62s/it]
Training 1/1 epoch (loss 2.7397):  42%|████▏     | 522/1250 [12:35<18:46,  1.55s/it]
Training 1/1 epoch (loss 2.8839):  42%|████▏     | 522/1250 [12:35<18:46,  1.55s/it]
Training 1/1 epoch (loss 2.8839):  42%|████▏     | 523/1250 [12:35<14:29,  1.20s/it]
Training 1/1 epoch (loss 2.7314):  42%|████▏     | 523/1250 [12:37<14:29,  1.20s/it]
Training 1/1 epoch (loss 2.7314):  42%|████▏     | 524/1250 [12:37<17:06,  1.41s/it]
Training 1/1 epoch (loss 2.7087):  42%|████▏     | 524/1250 [12:39<17:06,  1.41s/it]
Training 1/1 epoch (loss 2.7087):  42%|████▏     | 525/1250 [12:39<17:49,  1.48s/it]
Training 1/1 epoch (loss 2.6593):  42%|████▏     | 525/1250 [12:40<17:49,  1.48s/it]
Training 1/1 epoch (loss 2.6593):  42%|████▏     | 526/1250 [12:40<15:05,  1.25s/it]
Training 1/1 epoch (loss 2.5829):  42%|████▏     | 526/1250 [12:41<15:05,  1.25s/it]
Training 1/1 epoch (loss 2.5829):  42%|████▏     | 527/1250 [12:41<15:37,  1.30s/it]
Training 1/1 epoch (loss 2.7203):  42%|████▏     | 527/1250 [12:43<15:37,  1.30s/it]
Training 1/1 epoch (loss 2.7203):  42%|████▏     | 528/1250 [12:43<16:33,  1.38s/it]
Training 1/1 epoch (loss 2.5864):  42%|████▏     | 528/1250 [12:44<16:33,  1.38s/it]
Training 1/1 epoch (loss 2.5864):  42%|████▏     | 529/1250 [12:44<16:25,  1.37s/it]
Training 1/1 epoch (loss 2.7065):  42%|████▏     | 529/1250 [12:46<16:25,  1.37s/it]
Training 1/1 epoch (loss 2.7065):  42%|████▏     | 530/1250 [12:46<19:44,  1.65s/it]
Training 1/1 epoch (loss 2.4687):  42%|████▏     | 530/1250 [12:47<19:44,  1.65s/it]
Training 1/1 epoch (loss 2.4687):  42%|████▏     | 531/1250 [12:47<16:50,  1.41s/it]
Training 1/1 epoch (loss 2.6429):  42%|████▏     | 531/1250 [12:48<16:50,  1.41s/it]
Training 1/1 epoch (loss 2.6429):  43%|████▎     | 532/1250 [12:48<16:45,  1.40s/it]
Training 1/1 epoch (loss 2.7205):  43%|████▎     | 532/1250 [12:51<16:45,  1.40s/it]
Training 1/1 epoch (loss 2.7205):  43%|████▎     | 533/1250 [12:51<20:45,  1.74s/it]
Training 1/1 epoch (loss 2.8042):  43%|████▎     | 533/1250 [12:52<20:45,  1.74s/it]
Training 1/1 epoch (loss 2.8042):  43%|████▎     | 534/1250 [12:52<16:39,  1.40s/it]
Training 1/1 epoch (loss 2.8914):  43%|████▎     | 534/1250 [12:53<16:39,  1.40s/it]
Training 1/1 epoch (loss 2.8914):  43%|████▎     | 535/1250 [12:53<16:43,  1.40s/it]
Training 1/1 epoch (loss 2.8479):  43%|████▎     | 535/1250 [12:55<16:43,  1.40s/it]
Training 1/1 epoch (loss 2.8479):  43%|████▎     | 536/1250 [12:55<19:55,  1.67s/it]
Training 1/1 epoch (loss 2.8805):  43%|████▎     | 536/1250 [12:56<19:55,  1.67s/it]
Training 1/1 epoch (loss 2.8805):  43%|████▎     | 537/1250 [12:56<18:05,  1.52s/it]
Training 1/1 epoch (loss 2.5748):  43%|████▎     | 537/1250 [12:59<18:05,  1.52s/it]
Training 1/1 epoch (loss 2.5748):  43%|████▎     | 538/1250 [12:59<21:45,  1.83s/it]
Training 1/1 epoch (loss 2.7588):  43%|████▎     | 538/1250 [13:00<21:45,  1.83s/it]
Training 1/1 epoch (loss 2.7588):  43%|████▎     | 539/1250 [13:00<18:19,  1.55s/it]
Training 1/1 epoch (loss 2.8386):  43%|████▎     | 539/1250 [13:02<18:19,  1.55s/it]
Training 1/1 epoch (loss 2.8386):  43%|████▎     | 540/1250 [13:02<19:40,  1.66s/it]
Training 1/1 epoch (loss 2.6906):  43%|████▎     | 540/1250 [13:04<19:40,  1.66s/it]
Training 1/1 epoch (loss 2.6906):  43%|████▎     | 541/1250 [13:04<20:12,  1.71s/it]
Training 1/1 epoch (loss 2.6882):  43%|████▎     | 541/1250 [13:05<20:12,  1.71s/it]
Training 1/1 epoch (loss 2.6882):  43%|████▎     | 542/1250 [13:05<17:42,  1.50s/it]
Training 1/1 epoch (loss 2.5770):  43%|████▎     | 542/1250 [13:07<17:42,  1.50s/it]
Training 1/1 epoch (loss 2.5770):  43%|████▎     | 543/1250 [13:07<20:51,  1.77s/it]
Training 1/1 epoch (loss 2.6081):  43%|████▎     | 543/1250 [13:09<20:51,  1.77s/it]
Training 1/1 epoch (loss 2.6081):  44%|████▎     | 544/1250 [13:09<21:50,  1.86s/it]
Training 1/1 epoch (loss 2.7029):  44%|████▎     | 544/1250 [13:10<21:50,  1.86s/it]
Training 1/1 epoch (loss 2.7029):  44%|████▎     | 545/1250 [13:10<18:26,  1.57s/it]
Training 1/1 epoch (loss 2.7848):  44%|████▎     | 545/1250 [13:12<18:26,  1.57s/it]
Training 1/1 epoch (loss 2.7848):  44%|████▎     | 546/1250 [13:12<20:38,  1.76s/it]
Training 1/1 epoch (loss 2.7225):  44%|████▎     | 546/1250 [13:13<20:38,  1.76s/it]
Training 1/1 epoch (loss 2.7225):  44%|████▍     | 547/1250 [13:13<19:03,  1.63s/it]
Training 1/1 epoch (loss 2.8150):  44%|████▍     | 547/1250 [13:14<19:03,  1.63s/it]
Training 1/1 epoch (loss 2.8150):  44%|████▍     | 548/1250 [13:14<15:25,  1.32s/it]
Training 1/1 epoch (loss 2.9203):  44%|████▍     | 548/1250 [13:16<15:25,  1.32s/it]
Training 1/1 epoch (loss 2.9203):  44%|████▍     | 549/1250 [13:16<17:01,  1.46s/it]
Training 1/1 epoch (loss 2.7547):  44%|████▍     | 549/1250 [13:18<17:01,  1.46s/it]
Training 1/1 epoch (loss 2.7547):  44%|████▍     | 550/1250 [13:18<18:13,  1.56s/it]
Training 1/1 epoch (loss 2.6111):  44%|████▍     | 550/1250 [13:18<18:13,  1.56s/it]
Training 1/1 epoch (loss 2.6111):  44%|████▍     | 551/1250 [13:18<15:31,  1.33s/it]
Training 1/1 epoch (loss 2.5161):  44%|████▍     | 551/1250 [13:20<15:31,  1.33s/it]
Training 1/1 epoch (loss 2.5161):  44%|████▍     | 552/1250 [13:20<17:34,  1.51s/it]
Training 1/1 epoch (loss 2.8199):  44%|████▍     | 552/1250 [13:21<17:34,  1.51s/it]
Training 1/1 epoch (loss 2.8199):  44%|████▍     | 553/1250 [13:21<14:44,  1.27s/it]
Training 1/1 epoch (loss 2.6862):  44%|████▍     | 553/1250 [13:23<14:44,  1.27s/it]
Training 1/1 epoch (loss 2.6862):  44%|████▍     | 554/1250 [13:23<18:34,  1.60s/it]
Training 1/1 epoch (loss 2.4726):  44%|████▍     | 554/1250 [13:25<18:34,  1.60s/it]
Training 1/1 epoch (loss 2.4726):  44%|████▍     | 555/1250 [13:25<19:13,  1.66s/it]
Training 1/1 epoch (loss 2.6531):  44%|████▍     | 555/1250 [13:26<19:13,  1.66s/it]
Training 1/1 epoch (loss 2.6531):  44%|████▍     | 556/1250 [13:26<15:08,  1.31s/it]
Training 1/1 epoch (loss 2.8455):  44%|████▍     | 556/1250 [13:28<15:08,  1.31s/it]
Training 1/1 epoch (loss 2.8455):  45%|████▍     | 557/1250 [13:28<16:40,  1.44s/it]
Training 1/1 epoch (loss 2.7231):  45%|████▍     | 557/1250 [13:29<16:40,  1.44s/it]
Training 1/1 epoch (loss 2.7231):  45%|████▍     | 558/1250 [13:29<18:08,  1.57s/it]
Training 1/1 epoch (loss 2.7855):  45%|████▍     | 558/1250 [13:30<18:08,  1.57s/it]
Training 1/1 epoch (loss 2.7855):  45%|████▍     | 559/1250 [13:30<15:05,  1.31s/it]
Training 1/1 epoch (loss 2.7884):  45%|████▍     | 559/1250 [13:31<15:05,  1.31s/it]
Training 1/1 epoch (loss 2.7884):  45%|████▍     | 560/1250 [13:31<14:38,  1.27s/it]
Training 1/1 epoch (loss 2.5296):  45%|████▍     | 560/1250 [13:33<14:38,  1.27s/it]
Training 1/1 epoch (loss 2.5296):  45%|████▍     | 561/1250 [13:33<15:44,  1.37s/it]
Training 1/1 epoch (loss 2.7699):  45%|████▍     | 561/1250 [13:34<15:44,  1.37s/it]
Training 1/1 epoch (loss 2.7699):  45%|████▍     | 562/1250 [13:34<14:18,  1.25s/it]
Training 1/1 epoch (loss 2.7943):  45%|████▍     | 562/1250 [13:35<14:18,  1.25s/it]
Training 1/1 epoch (loss 2.7943):  45%|████▌     | 563/1250 [13:35<15:22,  1.34s/it]
Training 1/1 epoch (loss 2.8348):  45%|████▌     | 563/1250 [13:37<15:22,  1.34s/it]
Training 1/1 epoch (loss 2.8348):  45%|████▌     | 564/1250 [13:37<14:44,  1.29s/it]
Training 1/1 epoch (loss 2.7618):  45%|████▌     | 564/1250 [13:37<14:44,  1.29s/it]
Training 1/1 epoch (loss 2.7618):  45%|████▌     | 565/1250 [13:37<13:18,  1.17s/it]
Training 1/1 epoch (loss 2.7600):  45%|████▌     | 565/1250 [13:40<13:18,  1.17s/it]
Training 1/1 epoch (loss 2.7600):  45%|████▌     | 566/1250 [13:40<17:52,  1.57s/it]
Training 1/1 epoch (loss 2.7205):  45%|████▌     | 566/1250 [13:41<17:52,  1.57s/it]
Training 1/1 epoch (loss 2.7205):  45%|████▌     | 567/1250 [13:41<16:50,  1.48s/it]
Training 1/1 epoch (loss 2.6841):  45%|████▌     | 567/1250 [13:43<16:50,  1.48s/it]
Training 1/1 epoch (loss 2.6841):  45%|████▌     | 568/1250 [13:43<17:59,  1.58s/it]
Training 1/1 epoch (loss 2.7964):  45%|████▌     | 568/1250 [13:44<17:59,  1.58s/it]
Training 1/1 epoch (loss 2.7964):  46%|████▌     | 569/1250 [13:44<17:28,  1.54s/it]
Training 1/1 epoch (loss 2.6470):  46%|████▌     | 569/1250 [13:45<17:28,  1.54s/it]
Training 1/1 epoch (loss 2.6470):  46%|████▌     | 570/1250 [13:45<14:18,  1.26s/it]
Training 1/1 epoch (loss 2.6930):  46%|████▌     | 570/1250 [13:47<14:18,  1.26s/it]
Training 1/1 epoch (loss 2.6930):  46%|████▌     | 571/1250 [13:47<15:27,  1.37s/it]
Training 1/1 epoch (loss 2.8290):  46%|████▌     | 571/1250 [13:49<15:27,  1.37s/it]
Training 1/1 epoch (loss 2.8290):  46%|████▌     | 572/1250 [13:49<18:20,  1.62s/it]
Training 1/1 epoch (loss 2.7141):  46%|████▌     | 572/1250 [13:49<18:20,  1.62s/it]
Training 1/1 epoch (loss 2.7141):  46%|████▌     | 573/1250 [13:49<14:36,  1.29s/it]
Training 1/1 epoch (loss 2.7469):  46%|████▌     | 573/1250 [13:52<14:36,  1.29s/it]
Training 1/1 epoch (loss 2.7469):  46%|████▌     | 574/1250 [13:52<18:31,  1.64s/it]
Training 1/1 epoch (loss 2.8200):  46%|████▌     | 574/1250 [13:54<18:31,  1.64s/it]
Training 1/1 epoch (loss 2.8200):  46%|████▌     | 575/1250 [13:54<19:49,  1.76s/it]
Training 1/1 epoch (loss 2.6578):  46%|████▌     | 575/1250 [13:55<19:49,  1.76s/it]
Training 1/1 epoch (loss 2.6578):  46%|████▌     | 576/1250 [13:55<17:30,  1.56s/it]
Training 1/1 epoch (loss 2.6227):  46%|████▌     | 576/1250 [13:56<17:30,  1.56s/it]
Training 1/1 epoch (loss 2.6227):  46%|████▌     | 577/1250 [13:56<16:45,  1.49s/it]
Training 1/1 epoch (loss 2.8172):  46%|████▌     | 577/1250 [13:57<16:45,  1.49s/it]
Training 1/1 epoch (loss 2.8172):  46%|████▌     | 578/1250 [13:57<15:07,  1.35s/it]
Training 1/1 epoch (loss 2.9136):  46%|████▌     | 578/1250 [14:00<15:07,  1.35s/it]
Training 1/1 epoch (loss 2.9136):  46%|████▋     | 579/1250 [14:00<18:05,  1.62s/it]
Training 1/1 epoch (loss 2.8637):  46%|████▋     | 579/1250 [14:01<18:05,  1.62s/it]
Training 1/1 epoch (loss 2.8637):  46%|████▋     | 580/1250 [14:01<18:38,  1.67s/it]
Training 1/1 epoch (loss 2.6864):  46%|████▋     | 580/1250 [14:02<18:38,  1.67s/it]
Training 1/1 epoch (loss 2.6864):  46%|████▋     | 581/1250 [14:02<14:42,  1.32s/it]
Training 1/1 epoch (loss 2.5894):  46%|████▋     | 581/1250 [14:04<14:42,  1.32s/it]
Training 1/1 epoch (loss 2.5894):  47%|████▋     | 582/1250 [14:04<16:31,  1.48s/it]
Training 1/1 epoch (loss 2.5470):  47%|████▋     | 582/1250 [14:05<16:31,  1.48s/it]
Training 1/1 epoch (loss 2.5470):  47%|████▋     | 583/1250 [14:05<15:43,  1.41s/it]
Training 1/1 epoch (loss 2.6041):  47%|████▋     | 583/1250 [14:06<15:43,  1.41s/it]
Training 1/1 epoch (loss 2.6041):  47%|████▋     | 584/1250 [14:06<13:35,  1.22s/it]
Training 1/1 epoch (loss 2.7909):  47%|████▋     | 584/1250 [14:08<13:35,  1.22s/it]
Training 1/1 epoch (loss 2.7909):  47%|████▋     | 585/1250 [14:08<15:43,  1.42s/it]
Training 1/1 epoch (loss 2.5880):  47%|████▋     | 585/1250 [14:10<15:43,  1.42s/it]
Training 1/1 epoch (loss 2.5880):  47%|████▋     | 586/1250 [14:10<17:48,  1.61s/it]
Training 1/1 epoch (loss 2.6550):  47%|████▋     | 586/1250 [14:11<17:48,  1.61s/it]
Training 1/1 epoch (loss 2.6550):  47%|████▋     | 587/1250 [14:11<15:14,  1.38s/it]
Training 1/1 epoch (loss 2.4435):  47%|████▋     | 587/1250 [14:12<15:14,  1.38s/it]
Training 1/1 epoch (loss 2.4435):  47%|████▋     | 588/1250 [14:12<16:47,  1.52s/it]
Training 1/1 epoch (loss 2.5411):  47%|████▋     | 588/1250 [14:14<16:47,  1.52s/it]
Training 1/1 epoch (loss 2.5411):  47%|████▋     | 589/1250 [14:14<16:49,  1.53s/it]
Training 1/1 epoch (loss 2.6979):  47%|████▋     | 589/1250 [14:15<16:49,  1.53s/it]
Training 1/1 epoch (loss 2.6979):  47%|████▋     | 590/1250 [14:15<15:58,  1.45s/it]
Training 1/1 epoch (loss 2.5763):  47%|████▋     | 590/1250 [14:18<15:58,  1.45s/it]
Training 1/1 epoch (loss 2.5763):  47%|████▋     | 591/1250 [14:18<19:18,  1.76s/it]
Training 1/1 epoch (loss 2.7215):  47%|████▋     | 591/1250 [14:19<19:18,  1.76s/it]
Training 1/1 epoch (loss 2.7215):  47%|████▋     | 592/1250 [14:19<17:05,  1.56s/it]
Training 1/1 epoch (loss 2.8266):  47%|████▋     | 592/1250 [14:21<17:05,  1.56s/it]
Training 1/1 epoch (loss 2.8266):  47%|████▋     | 593/1250 [14:21<19:57,  1.82s/it]
Training 1/1 epoch (loss 2.6069):  47%|████▋     | 593/1250 [14:23<19:57,  1.82s/it]
Training 1/1 epoch (loss 2.6069):  48%|████▊     | 594/1250 [14:23<20:56,  1.92s/it]
Training 1/1 epoch (loss 2.5879):  48%|████▊     | 594/1250 [14:24<20:56,  1.92s/it]
Training 1/1 epoch (loss 2.5879):  48%|████▊     | 595/1250 [14:24<16:51,  1.54s/it]
Training 1/1 epoch (loss 2.6303):  48%|████▊     | 595/1250 [14:26<16:51,  1.54s/it]
Training 1/1 epoch (loss 2.6303):  48%|████▊     | 596/1250 [14:26<17:38,  1.62s/it]
Training 1/1 epoch (loss 2.7333):  48%|████▊     | 596/1250 [14:27<17:38,  1.62s/it]
Training 1/1 epoch (loss 2.7333):  48%|████▊     | 597/1250 [14:27<17:01,  1.56s/it]
Training 1/1 epoch (loss 2.6795):  48%|████▊     | 597/1250 [14:28<17:01,  1.56s/it]
Training 1/1 epoch (loss 2.6795):  48%|████▊     | 598/1250 [14:28<14:41,  1.35s/it]
Training 1/1 epoch (loss 2.7003):  48%|████▊     | 598/1250 [14:30<14:41,  1.35s/it]
Training 1/1 epoch (loss 2.7003):  48%|████▊     | 599/1250 [14:30<16:33,  1.53s/it]
Training 1/1 epoch (loss 2.6887):  48%|████▊     | 599/1250 [14:31<16:33,  1.53s/it]
Training 1/1 epoch (loss 2.6887):  48%|████▊     | 600/1250 [14:31<14:41,  1.36s/it]
Training 1/1 epoch (loss 2.8890):  48%|████▊     | 600/1250 [14:32<14:41,  1.36s/it]
Training 1/1 epoch (loss 2.8890):  48%|████▊     | 601/1250 [14:32<14:11,  1.31s/it]
Training 1/1 epoch (loss 2.5971):  48%|████▊     | 601/1250 [14:34<14:11,  1.31s/it]
Training 1/1 epoch (loss 2.5971):  48%|████▊     | 602/1250 [14:34<16:15,  1.50s/it]
Training 1/1 epoch (loss 2.5735):  48%|████▊     | 602/1250 [14:35<16:15,  1.50s/it]
Training 1/1 epoch (loss 2.5735):  48%|████▊     | 603/1250 [14:35<13:43,  1.27s/it]
Training 1/1 epoch (loss 2.7785):  48%|████▊     | 603/1250 [14:36<13:43,  1.27s/it]
Training 1/1 epoch (loss 2.7785):  48%|████▊     | 604/1250 [14:36<14:14,  1.32s/it]
Training 1/1 epoch (loss 2.6707):  48%|████▊     | 604/1250 [14:38<14:14,  1.32s/it]
Training 1/1 epoch (loss 2.6707):  48%|████▊     | 605/1250 [14:38<15:40,  1.46s/it]
Training 1/1 epoch (loss 2.7932):  48%|████▊     | 605/1250 [14:39<15:40,  1.46s/it]
Training 1/1 epoch (loss 2.7932):  48%|████▊     | 606/1250 [14:39<12:29,  1.16s/it]
Training 1/1 epoch (loss 2.5722):  48%|████▊     | 606/1250 [14:41<12:29,  1.16s/it]
Training 1/1 epoch (loss 2.5722):  49%|████▊     | 607/1250 [14:41<16:31,  1.54s/it]
Training 1/1 epoch (loss 2.8843):  49%|████▊     | 607/1250 [14:43<16:31,  1.54s/it]
Training 1/1 epoch (loss 2.8843):  49%|████▊     | 608/1250 [14:43<16:59,  1.59s/it]
Training 1/1 epoch (loss 2.6326):  49%|████▊     | 608/1250 [14:43<16:59,  1.59s/it]
Training 1/1 epoch (loss 2.6326):  49%|████▊     | 609/1250 [14:43<14:05,  1.32s/it]
Training 1/1 epoch (loss 2.7642):  49%|████▊     | 609/1250 [14:45<14:05,  1.32s/it]
Training 1/1 epoch (loss 2.7642):  49%|████▉     | 610/1250 [14:45<15:35,  1.46s/it]
Training 1/1 epoch (loss 2.7424):  49%|████▉     | 610/1250 [14:47<15:35,  1.46s/it]
Training 1/1 epoch (loss 2.7424):  49%|████▉     | 611/1250 [14:47<15:41,  1.47s/it]
Training 1/1 epoch (loss 2.5728):  49%|████▉     | 611/1250 [14:48<15:41,  1.47s/it]
Training 1/1 epoch (loss 2.5728):  49%|████▉     | 612/1250 [14:48<15:07,  1.42s/it]
Training 1/1 epoch (loss 2.8065):  49%|████▉     | 612/1250 [14:50<15:07,  1.42s/it]
Training 1/1 epoch (loss 2.8065):  49%|████▉     | 613/1250 [14:50<16:50,  1.59s/it]
Training 1/1 epoch (loss 2.8513):  49%|████▉     | 613/1250 [14:51<16:50,  1.59s/it]
Training 1/1 epoch (loss 2.8513):  49%|████▉     | 614/1250 [14:51<15:06,  1.43s/it]
Training 1/1 epoch (loss 2.7036):  49%|████▉     | 614/1250 [14:52<15:06,  1.43s/it]
Training 1/1 epoch (loss 2.7036):  49%|████▉     | 615/1250 [14:52<14:42,  1.39s/it]
Training 1/1 epoch (loss 2.7736):  49%|████▉     | 615/1250 [14:54<14:42,  1.39s/it]
Training 1/1 epoch (loss 2.7736):  49%|████▉     | 616/1250 [14:54<15:17,  1.45s/it]
Training 1/1 epoch (loss 2.3511):  49%|████▉     | 616/1250 [14:55<15:17,  1.45s/it]
Training 1/1 epoch (loss 2.3511):  49%|████▉     | 617/1250 [14:55<13:44,  1.30s/it]
Training 1/1 epoch (loss 2.6886):  49%|████▉     | 617/1250 [14:56<13:44,  1.30s/it]
Training 1/1 epoch (loss 2.6886):  49%|████▉     | 618/1250 [14:56<13:26,  1.28s/it]
Training 1/1 epoch (loss 2.6158):  49%|████▉     | 618/1250 [14:57<13:26,  1.28s/it]
Training 1/1 epoch (loss 2.6158):  50%|████▉     | 619/1250 [14:57<13:37,  1.30s/it]
Training 1/1 epoch (loss 2.6185):  50%|████▉     | 619/1250 [14:58<13:37,  1.30s/it]
Training 1/1 epoch (loss 2.6185):  50%|████▉     | 620/1250 [14:58<10:52,  1.04s/it]
Training 1/1 epoch (loss 2.5569):  50%|████▉     | 620/1250 [15:00<10:52,  1.04s/it]
Training 1/1 epoch (loss 2.5569):  50%|████▉     | 621/1250 [15:00<14:14,  1.36s/it]
Training 1/1 epoch (loss 2.8364):  50%|████▉     | 621/1250 [15:02<14:14,  1.36s/it]
Training 1/1 epoch (loss 2.8364):  50%|████▉     | 622/1250 [15:02<15:09,  1.45s/it]
Training 1/1 epoch (loss 2.7262):  50%|████▉     | 622/1250 [15:02<15:09,  1.45s/it]
Training 1/1 epoch (loss 2.7262):  50%|████▉     | 623/1250 [15:02<12:38,  1.21s/it]
Training 1/1 epoch (loss 2.6499):  50%|████▉     | 623/1250 [15:05<12:38,  1.21s/it]
Training 1/1 epoch (loss 2.6499):  50%|████▉     | 624/1250 [15:05<16:37,  1.59s/it]
Training 1/1 epoch (loss 2.7123):  50%|████▉     | 624/1250 [15:06<16:37,  1.59s/it]
Training 1/1 epoch (loss 2.7123):  50%|█████     | 625/1250 [15:06<15:16,  1.47s/it]
Training 1/1 epoch (loss 2.7603):  50%|█████     | 625/1250 [15:07<15:16,  1.47s/it]
Training 1/1 epoch (loss 2.7603):  50%|█████     | 626/1250 [15:07<12:56,  1.24s/it]
Training 1/1 epoch (loss 2.4679):  50%|█████     | 626/1250 [15:08<12:56,  1.24s/it]
Training 1/1 epoch (loss 2.4679):  50%|█████     | 627/1250 [15:08<13:27,  1.30s/it]
Training 1/1 epoch (loss 2.6600):  50%|█████     | 627/1250 [15:09<13:27,  1.30s/it]
Training 1/1 epoch (loss 2.6600):  50%|█████     | 628/1250 [15:09<12:30,  1.21s/it]
Training 1/1 epoch (loss 2.8506):  50%|█████     | 628/1250 [15:10<12:30,  1.21s/it]
Training 1/1 epoch (loss 2.8506):  50%|█████     | 629/1250 [15:10<11:40,  1.13s/it]
Training 1/1 epoch (loss 2.4235):  50%|█████     | 629/1250 [15:13<11:40,  1.13s/it]
Training 1/1 epoch (loss 2.4235):  50%|█████     | 630/1250 [15:13<15:42,  1.52s/it]
Training 1/1 epoch (loss 2.6785):  50%|█████     | 630/1250 [15:14<15:42,  1.52s/it]
Training 1/1 epoch (loss 2.6785):  50%|█████     | 631/1250 [15:14<15:42,  1.52s/it]
Training 1/1 epoch (loss 2.8479):  50%|█████     | 631/1250 [15:16<15:42,  1.52s/it]
Training 1/1 epoch (loss 2.8479):  51%|█████     | 632/1250 [15:16<16:05,  1.56s/it]
Training 1/1 epoch (loss 2.7007):  51%|█████     | 632/1250 [15:18<16:05,  1.56s/it]
Training 1/1 epoch (loss 2.7007):  51%|█████     | 633/1250 [15:18<18:48,  1.83s/it]
Training 1/1 epoch (loss 2.6779):  51%|█████     | 633/1250 [15:19<18:48,  1.83s/it]
Training 1/1 epoch (loss 2.6779):  51%|█████     | 634/1250 [15:19<15:28,  1.51s/it]
Training 1/1 epoch (loss 2.5353):  51%|█████     | 634/1250 [15:21<15:28,  1.51s/it]
Training 1/1 epoch (loss 2.5353):  51%|█████     | 635/1250 [15:21<18:16,  1.78s/it]
Training 1/1 epoch (loss 2.4935):  51%|█████     | 635/1250 [15:23<18:16,  1.78s/it]
Training 1/1 epoch (loss 2.4935):  51%|█████     | 636/1250 [15:23<17:03,  1.67s/it]
Training 1/1 epoch (loss 2.5703):  51%|█████     | 636/1250 [15:24<17:03,  1.67s/it]
Training 1/1 epoch (loss 2.5703):  51%|█████     | 637/1250 [15:24<15:05,  1.48s/it]
Training 1/1 epoch (loss 2.5328):  51%|█████     | 637/1250 [15:26<15:05,  1.48s/it]
Training 1/1 epoch (loss 2.5328):  51%|█████     | 638/1250 [15:26<17:11,  1.69s/it]
Training 1/1 epoch (loss 2.8745):  51%|█████     | 638/1250 [15:27<17:11,  1.69s/it]
Training 1/1 epoch (loss 2.8745):  51%|█████     | 639/1250 [15:27<15:16,  1.50s/it]
Training 1/1 epoch (loss 2.6576):  51%|█████     | 639/1250 [15:28<15:16,  1.50s/it]
Training 1/1 epoch (loss 2.6576):  51%|█████     | 640/1250 [15:28<13:56,  1.37s/it]
Training 1/1 epoch (loss 2.6165):  51%|█████     | 640/1250 [15:30<13:56,  1.37s/it]
Training 1/1 epoch (loss 2.6165):  51%|█████▏    | 641/1250 [15:30<14:32,  1.43s/it]
Training 1/1 epoch (loss 2.6343):  51%|█████▏    | 641/1250 [15:31<14:32,  1.43s/it]
Training 1/1 epoch (loss 2.6343):  51%|█████▏    | 642/1250 [15:31<12:53,  1.27s/it]
Training 1/1 epoch (loss 2.6751):  51%|█████▏    | 642/1250 [15:32<12:53,  1.27s/it]
Training 1/1 epoch (loss 2.6751):  51%|█████▏    | 643/1250 [15:32<14:29,  1.43s/it]
Training 1/1 epoch (loss 2.6685):  51%|█████▏    | 643/1250 [15:34<14:29,  1.43s/it]
Training 1/1 epoch (loss 2.6685):  52%|█████▏    | 644/1250 [15:34<15:50,  1.57s/it]
Training 1/1 epoch (loss 2.5447):  52%|█████▏    | 644/1250 [15:35<15:50,  1.57s/it]
Training 1/1 epoch (loss 2.5447):  52%|█████▏    | 645/1250 [15:35<12:31,  1.24s/it]
Training 1/1 epoch (loss 2.2722):  52%|█████▏    | 645/1250 [15:37<12:31,  1.24s/it]
Training 1/1 epoch (loss 2.2722):  52%|█████▏    | 646/1250 [15:37<14:08,  1.40s/it]
Training 1/1 epoch (loss 2.6533):  52%|█████▏    | 646/1250 [15:39<14:08,  1.40s/it]
Training 1/1 epoch (loss 2.6533):  52%|█████▏    | 647/1250 [15:39<16:44,  1.67s/it]
Training 1/1 epoch (loss 2.8162):  52%|█████▏    | 647/1250 [15:40<16:44,  1.67s/it]
Training 1/1 epoch (loss 2.8162):  52%|█████▏    | 648/1250 [15:40<15:14,  1.52s/it]
Training 1/1 epoch (loss 2.5195):  52%|█████▏    | 648/1250 [15:42<15:14,  1.52s/it]
Training 1/1 epoch (loss 2.5195):  52%|█████▏    | 649/1250 [15:42<16:30,  1.65s/it]
Training 1/1 epoch (loss 2.8052):  52%|█████▏    | 649/1250 [15:43<16:30,  1.65s/it]
Training 1/1 epoch (loss 2.8052):  52%|█████▏    | 650/1250 [15:43<13:34,  1.36s/it]
Training 1/1 epoch (loss 2.7059):  52%|█████▏    | 650/1250 [15:45<13:34,  1.36s/it]
Training 1/1 epoch (loss 2.7059):  52%|█████▏    | 651/1250 [15:45<15:25,  1.55s/it]
Training 1/1 epoch (loss 2.5560):  52%|█████▏    | 651/1250 [15:47<15:25,  1.55s/it]
Training 1/1 epoch (loss 2.5560):  52%|█████▏    | 652/1250 [15:47<17:16,  1.73s/it]
Training 1/1 epoch (loss 2.5467):  52%|█████▏    | 652/1250 [15:48<17:16,  1.73s/it]
Training 1/1 epoch (loss 2.5467):  52%|█████▏    | 653/1250 [15:48<14:35,  1.47s/it]
Training 1/1 epoch (loss 2.4835):  52%|█████▏    | 653/1250 [15:50<14:35,  1.47s/it]
Training 1/1 epoch (loss 2.4835):  52%|█████▏    | 654/1250 [15:50<16:36,  1.67s/it]
Training 1/1 epoch (loss 2.6986):  52%|█████▏    | 654/1250 [15:52<16:36,  1.67s/it]
Training 1/1 epoch (loss 2.6986):  52%|█████▏    | 655/1250 [15:52<17:49,  1.80s/it]
Training 1/1 epoch (loss 2.8668):  52%|█████▏    | 655/1250 [15:53<17:49,  1.80s/it]
Training 1/1 epoch (loss 2.8668):  52%|█████▏    | 656/1250 [15:53<14:33,  1.47s/it]
Training 1/1 epoch (loss 2.8108):  52%|█████▏    | 656/1250 [15:54<14:33,  1.47s/it]
Training 1/1 epoch (loss 2.8108):  53%|█████▎    | 657/1250 [15:54<15:50,  1.60s/it]
Training 1/1 epoch (loss 2.8269):  53%|█████▎    | 657/1250 [15:56<15:50,  1.60s/it]
Training 1/1 epoch (loss 2.8269):  53%|█████▎    | 658/1250 [15:56<15:11,  1.54s/it]
Training 1/1 epoch (loss 2.5625):  53%|█████▎    | 658/1250 [15:56<15:11,  1.54s/it]
Training 1/1 epoch (loss 2.5625):  53%|█████▎    | 659/1250 [15:56<12:28,  1.27s/it]
Training 1/1 epoch (loss 2.3504):  53%|█████▎    | 659/1250 [15:59<12:28,  1.27s/it]
Training 1/1 epoch (loss 2.3504):  53%|█████▎    | 660/1250 [15:59<15:44,  1.60s/it]
Training 1/1 epoch (loss 2.5120):  53%|█████▎    | 660/1250 [16:00<15:44,  1.60s/it]
Training 1/1 epoch (loss 2.5120):  53%|█████▎    | 661/1250 [16:00<13:56,  1.42s/it]
Training 1/1 epoch (loss 2.6010):  53%|█████▎    | 661/1250 [16:01<13:56,  1.42s/it]
Training 1/1 epoch (loss 2.6010):  53%|█████▎    | 662/1250 [16:01<13:28,  1.37s/it]
Training 1/1 epoch (loss 2.6845):  53%|█████▎    | 662/1250 [16:03<13:28,  1.37s/it]
Training 1/1 epoch (loss 2.6845):  53%|█████▎    | 663/1250 [16:03<13:33,  1.39s/it]
Training 1/1 epoch (loss 2.7650):  53%|█████▎    | 663/1250 [16:04<13:33,  1.39s/it]
Training 1/1 epoch (loss 2.7650):  53%|█████▎    | 664/1250 [16:04<12:33,  1.29s/it]
Training 1/1 epoch (loss 2.7083):  53%|█████▎    | 664/1250 [16:05<12:33,  1.29s/it]
Training 1/1 epoch (loss 2.7083):  53%|█████▎    | 665/1250 [16:05<13:46,  1.41s/it]
Training 1/1 epoch (loss 2.6369):  53%|█████▎    | 665/1250 [16:08<13:46,  1.41s/it]
Training 1/1 epoch (loss 2.6369):  53%|█████▎    | 666/1250 [16:08<16:07,  1.66s/it]
Training 1/1 epoch (loss 2.8546):  53%|█████▎    | 666/1250 [16:09<16:07,  1.66s/it]
Training 1/1 epoch (loss 2.8546):  53%|█████▎    | 667/1250 [16:09<14:21,  1.48s/it]
Training 1/1 epoch (loss 2.7554):  53%|█████▎    | 667/1250 [16:11<14:21,  1.48s/it]
Training 1/1 epoch (loss 2.7554):  53%|█████▎    | 668/1250 [16:11<15:37,  1.61s/it]
Training 1/1 epoch (loss 2.7035):  53%|█████▎    | 668/1250 [16:12<15:37,  1.61s/it]
Training 1/1 epoch (loss 2.7035):  54%|█████▎    | 669/1250 [16:12<15:31,  1.60s/it]
Training 1/1 epoch (loss 2.9590):  54%|█████▎    | 669/1250 [16:13<15:31,  1.60s/it]
Training 1/1 epoch (loss 2.9590):  54%|█████▎    | 670/1250 [16:13<12:10,  1.26s/it]
Training 1/1 epoch (loss 2.9710):  54%|█████▎    | 670/1250 [16:14<12:10,  1.26s/it]
Training 1/1 epoch (loss 2.9710):  54%|█████▎    | 671/1250 [16:14<13:46,  1.43s/it]
Training 1/1 epoch (loss 2.8468):  54%|█████▎    | 671/1250 [16:16<13:46,  1.43s/it]
Training 1/1 epoch (loss 2.8468):  54%|█████▍    | 672/1250 [16:16<13:25,  1.39s/it]
Training 1/1 epoch (loss 2.5578):  54%|█████▍    | 672/1250 [16:17<13:25,  1.39s/it]
Training 1/1 epoch (loss 2.5578):  54%|█████▍    | 673/1250 [16:17<12:45,  1.33s/it]
Training 1/1 epoch (loss 2.7980):  54%|█████▍    | 673/1250 [16:19<12:45,  1.33s/it]
Training 1/1 epoch (loss 2.7980):  54%|█████▍    | 674/1250 [16:19<14:11,  1.48s/it]
Training 1/1 epoch (loss 2.4641):  54%|█████▍    | 674/1250 [16:20<14:11,  1.48s/it]
Training 1/1 epoch (loss 2.4641):  54%|█████▍    | 675/1250 [16:20<13:12,  1.38s/it]
Training 1/1 epoch (loss 2.7195):  54%|█████▍    | 675/1250 [16:21<13:12,  1.38s/it]
Training 1/1 epoch (loss 2.7195):  54%|█████▍    | 676/1250 [16:21<12:12,  1.28s/it]
Training 1/1 epoch (loss 2.5117):  54%|█████▍    | 676/1250 [16:23<12:12,  1.28s/it]
Training 1/1 epoch (loss 2.5117):  54%|█████▍    | 677/1250 [16:23<15:49,  1.66s/it]
Training 1/1 epoch (loss 2.7658):  54%|█████▍    | 677/1250 [16:25<15:49,  1.66s/it]
Training 1/1 epoch (loss 2.7658):  54%|█████▍    | 678/1250 [16:25<14:44,  1.55s/it]
Training 1/1 epoch (loss 2.7613):  54%|█████▍    | 678/1250 [16:26<14:44,  1.55s/it]
Training 1/1 epoch (loss 2.7613):  54%|█████▍    | 679/1250 [16:26<14:10,  1.49s/it]
Training 1/1 epoch (loss 2.6677):  54%|█████▍    | 679/1250 [16:28<14:10,  1.49s/it]
Training 1/1 epoch (loss 2.6677):  54%|█████▍    | 680/1250 [16:28<15:27,  1.63s/it]
Training 1/1 epoch (loss 2.5732):  54%|█████▍    | 680/1250 [16:29<15:27,  1.63s/it]
Training 1/1 epoch (loss 2.5732):  54%|█████▍    | 681/1250 [16:29<13:02,  1.37s/it]
Training 1/1 epoch (loss 2.7917):  54%|█████▍    | 681/1250 [16:30<13:02,  1.37s/it]
Training 1/1 epoch (loss 2.7917):  55%|█████▍    | 682/1250 [16:30<13:39,  1.44s/it]
Training 1/1 epoch (loss 2.7716):  55%|█████▍    | 682/1250 [16:32<13:39,  1.44s/it]
Training 1/1 epoch (loss 2.7716):  55%|█████▍    | 683/1250 [16:32<13:52,  1.47s/it]
Training 1/1 epoch (loss 2.7420):  55%|█████▍    | 683/1250 [16:33<13:52,  1.47s/it]
Training 1/1 epoch (loss 2.7420):  55%|█████▍    | 684/1250 [16:33<12:27,  1.32s/it]
Training 1/1 epoch (loss 2.4869):  55%|█████▍    | 684/1250 [16:34<12:27,  1.32s/it]
Training 1/1 epoch (loss 2.4869):  55%|█████▍    | 685/1250 [16:34<12:29,  1.33s/it]
Training 1/1 epoch (loss 2.7400):  55%|█████▍    | 685/1250 [16:36<12:29,  1.33s/it]
Training 1/1 epoch (loss 2.7400):  55%|█████▍    | 686/1250 [16:36<13:16,  1.41s/it]
Training 1/1 epoch (loss 2.6179):  55%|█████▍    | 686/1250 [16:37<13:16,  1.41s/it]
Training 1/1 epoch (loss 2.6179):  55%|█████▍    | 687/1250 [16:37<12:53,  1.37s/it]
Training 1/1 epoch (loss 2.7339):  55%|█████▍    | 687/1250 [16:39<12:53,  1.37s/it]
Training 1/1 epoch (loss 2.7339):  55%|█████▌    | 688/1250 [16:39<12:57,  1.38s/it]
Training 1/1 epoch (loss 2.7796):  55%|█████▌    | 688/1250 [16:40<12:57,  1.38s/it]
Training 1/1 epoch (loss 2.7796):  55%|█████▌    | 689/1250 [16:40<12:58,  1.39s/it]
Training 1/1 epoch (loss 2.8004):  55%|█████▌    | 689/1250 [16:42<12:58,  1.39s/it]
Training 1/1 epoch (loss 2.8004):  55%|█████▌    | 690/1250 [16:42<15:03,  1.61s/it]
Training 1/1 epoch (loss 2.6168):  55%|█████▌    | 690/1250 [16:44<15:03,  1.61s/it]
Training 1/1 epoch (loss 2.6168):  55%|█████▌    | 691/1250 [16:44<16:16,  1.75s/it]
Training 1/1 epoch (loss 2.7259):  55%|█████▌    | 691/1250 [16:45<16:16,  1.75s/it]
Training 1/1 epoch (loss 2.7259):  55%|█████▌    | 692/1250 [16:45<12:56,  1.39s/it]
Training 1/1 epoch (loss 2.7067):  55%|█████▌    | 692/1250 [16:47<12:56,  1.39s/it]
Training 1/1 epoch (loss 2.7067):  55%|█████▌    | 693/1250 [16:47<14:55,  1.61s/it]
Training 1/1 epoch (loss 2.8842):  55%|█████▌    | 693/1250 [16:49<14:55,  1.61s/it]
Training 1/1 epoch (loss 2.8842):  56%|█████▌    | 694/1250 [16:49<17:14,  1.86s/it]
Training 1/1 epoch (loss 2.6375):  56%|█████▌    | 694/1250 [16:50<17:14,  1.86s/it]
Training 1/1 epoch (loss 2.6375):  56%|█████▌    | 695/1250 [16:50<13:30,  1.46s/it]
Training 1/1 epoch (loss 2.9049):  56%|█████▌    | 695/1250 [16:52<13:30,  1.46s/it]
Training 1/1 epoch (loss 2.9049):  56%|█████▌    | 696/1250 [16:52<14:12,  1.54s/it]
Training 1/1 epoch (loss 2.6689):  56%|█████▌    | 696/1250 [16:53<14:12,  1.54s/it]
Training 1/1 epoch (loss 2.6689):  56%|█████▌    | 697/1250 [16:53<14:29,  1.57s/it]
Training 1/1 epoch (loss 2.5341):  56%|█████▌    | 697/1250 [16:54<14:29,  1.57s/it]
Training 1/1 epoch (loss 2.5341):  56%|█████▌    | 698/1250 [16:54<12:15,  1.33s/it]
Training 1/1 epoch (loss 2.8390):  56%|█████▌    | 698/1250 [16:55<12:15,  1.33s/it]
Training 1/1 epoch (loss 2.8390):  56%|█████▌    | 699/1250 [16:55<11:51,  1.29s/it]
Training 1/1 epoch (loss 2.9260):  56%|█████▌    | 699/1250 [16:57<11:51,  1.29s/it]
Training 1/1 epoch (loss 2.9260):  56%|█████▌    | 700/1250 [16:57<13:36,  1.48s/it]
Training 1/1 epoch (loss 2.8206):  56%|█████▌    | 700/1250 [16:58<13:36,  1.48s/it]
Training 1/1 epoch (loss 2.8206):  56%|█████▌    | 701/1250 [16:58<12:03,  1.32s/it]
Training 1/1 epoch (loss 2.6184):  56%|█████▌    | 701/1250 [17:00<12:03,  1.32s/it]
Training 1/1 epoch (loss 2.6184):  56%|█████▌    | 702/1250 [17:00<14:37,  1.60s/it]
Training 1/1 epoch (loss 2.7334):  56%|█████▌    | 702/1250 [17:01<14:37,  1.60s/it]
Training 1/1 epoch (loss 2.7334):  56%|█████▌    | 703/1250 [17:01<12:44,  1.40s/it]
Training 1/1 epoch (loss 2.5352):  56%|█████▌    | 703/1250 [17:02<12:44,  1.40s/it]
Training 1/1 epoch (loss 2.5352):  56%|█████▋    | 704/1250 [17:02<12:21,  1.36s/it]
Training 1/1 epoch (loss 2.7107):  56%|█████▋    | 704/1250 [17:05<12:21,  1.36s/it]
Training 1/1 epoch (loss 2.7107):  56%|█████▋    | 705/1250 [17:05<15:09,  1.67s/it]
Training 1/1 epoch (loss 2.8003):  56%|█████▋    | 705/1250 [17:06<15:09,  1.67s/it]
Training 1/1 epoch (loss 2.8003):  56%|█████▋    | 706/1250 [17:06<13:01,  1.44s/it]
Training 1/1 epoch (loss 2.7759):  56%|█████▋    | 706/1250 [17:07<13:01,  1.44s/it]
Training 1/1 epoch (loss 2.7759):  57%|█████▋    | 707/1250 [17:07<11:47,  1.30s/it]
Training 1/1 epoch (loss 2.8062):  57%|█████▋    | 707/1250 [17:08<11:47,  1.30s/it]
Training 1/1 epoch (loss 2.8062):  57%|█████▋    | 708/1250 [17:08<12:17,  1.36s/it]
Training 1/1 epoch (loss 2.8475):  57%|█████▋    | 708/1250 [17:09<12:17,  1.36s/it]
Training 1/1 epoch (loss 2.8475):  57%|█████▋    | 709/1250 [17:09<11:14,  1.25s/it]
Training 1/1 epoch (loss 2.6570):  57%|█████▋    | 709/1250 [17:11<11:14,  1.25s/it]
Training 1/1 epoch (loss 2.6570):  57%|█████▋    | 710/1250 [17:11<13:34,  1.51s/it]
Training 1/1 epoch (loss 2.8123):  57%|█████▋    | 710/1250 [17:13<13:34,  1.51s/it]
Training 1/1 epoch (loss 2.8123):  57%|█████▋    | 711/1250 [17:13<14:30,  1.62s/it]
Training 1/1 epoch (loss 2.8120):  57%|█████▋    | 711/1250 [17:14<14:30,  1.62s/it]
Training 1/1 epoch (loss 2.8120):  57%|█████▋    | 712/1250 [17:14<11:53,  1.33s/it]
Training 1/1 epoch (loss 2.5476):  57%|█████▋    | 712/1250 [17:15<11:53,  1.33s/it]
Training 1/1 epoch (loss 2.5476):  57%|█████▋    | 713/1250 [17:15<12:37,  1.41s/it]
Training 1/1 epoch (loss 2.8905):  57%|█████▋    | 713/1250 [17:17<12:37,  1.41s/it]
Training 1/1 epoch (loss 2.8905):  57%|█████▋    | 714/1250 [17:17<12:59,  1.45s/it]
Training 1/1 epoch (loss 2.7893):  57%|█████▋    | 714/1250 [17:18<12:59,  1.45s/it]
Training 1/1 epoch (loss 2.7893):  57%|█████▋    | 715/1250 [17:18<11:29,  1.29s/it]
Training 1/1 epoch (loss 2.4270):  57%|█████▋    | 715/1250 [17:20<11:29,  1.29s/it]
Training 1/1 epoch (loss 2.4270):  57%|█████▋    | 716/1250 [17:20<13:31,  1.52s/it]
Training 1/1 epoch (loss 2.7385):  57%|█████▋    | 716/1250 [17:22<13:31,  1.52s/it]
Training 1/1 epoch (loss 2.7385):  57%|█████▋    | 717/1250 [17:22<13:57,  1.57s/it]
Training 1/1 epoch (loss 2.7463):  57%|█████▋    | 717/1250 [17:23<13:57,  1.57s/it]
Training 1/1 epoch (loss 2.7463):  57%|█████▋    | 718/1250 [17:23<13:36,  1.53s/it]
Training 1/1 epoch (loss 2.7833):  57%|█████▋    | 718/1250 [17:24<13:36,  1.53s/it]
Training 1/1 epoch (loss 2.7833):  58%|█████▊    | 719/1250 [17:24<12:42,  1.44s/it]
Training 1/1 epoch (loss 2.8388):  58%|█████▊    | 719/1250 [17:26<12:42,  1.44s/it]
Training 1/1 epoch (loss 2.8388):  58%|█████▊    | 720/1250 [17:26<12:31,  1.42s/it]
Training 1/1 epoch (loss 2.6094):  58%|█████▊    | 720/1250 [17:27<12:31,  1.42s/it]
Training 1/1 epoch (loss 2.6094):  58%|█████▊    | 721/1250 [17:27<12:06,  1.37s/it]
Training 1/1 epoch (loss 2.6391):  58%|█████▊    | 721/1250 [17:29<12:06,  1.37s/it]
Training 1/1 epoch (loss 2.6391):  58%|█████▊    | 722/1250 [17:29<13:31,  1.54s/it]
Training 1/1 epoch (loss 2.4534):  58%|█████▊    | 722/1250 [17:30<13:31,  1.54s/it]
Training 1/1 epoch (loss 2.4534):  58%|█████▊    | 723/1250 [17:30<12:36,  1.43s/it]
Training 1/1 epoch (loss 2.6166):  58%|█████▊    | 723/1250 [17:32<12:36,  1.43s/it]
Training 1/1 epoch (loss 2.6166):  58%|█████▊    | 724/1250 [17:32<13:50,  1.58s/it]
Training 1/1 epoch (loss 2.9780):  58%|█████▊    | 724/1250 [17:34<13:50,  1.58s/it]
Training 1/1 epoch (loss 2.9780):  58%|█████▊    | 725/1250 [17:34<14:10,  1.62s/it]
Training 1/1 epoch (loss 2.6208):  58%|█████▊    | 725/1250 [17:34<14:10,  1.62s/it]
Training 1/1 epoch (loss 2.6208):  58%|█████▊    | 726/1250 [17:34<11:44,  1.34s/it]
Training 1/1 epoch (loss 2.5828):  58%|█████▊    | 726/1250 [17:36<11:44,  1.34s/it]
Training 1/1 epoch (loss 2.5828):  58%|█████▊    | 727/1250 [17:36<12:32,  1.44s/it]
Training 1/1 epoch (loss 2.5279):  58%|█████▊    | 727/1250 [17:39<12:32,  1.44s/it]
Training 1/1 epoch (loss 2.5279):  58%|█████▊    | 728/1250 [17:39<16:02,  1.84s/it]
Training 1/1 epoch (loss 2.7652):  58%|█████▊    | 728/1250 [17:40<16:02,  1.84s/it]
Training 1/1 epoch (loss 2.7652):  58%|█████▊    | 729/1250 [17:40<13:03,  1.50s/it]
Training 1/1 epoch (loss 2.7808):  58%|█████▊    | 729/1250 [17:42<13:03,  1.50s/it]
Training 1/1 epoch (loss 2.7808):  58%|█████▊    | 730/1250 [17:42<15:25,  1.78s/it]
Training 1/1 epoch (loss 2.6770):  58%|█████▊    | 730/1250 [17:43<15:25,  1.78s/it]
Training 1/1 epoch (loss 2.6770):  58%|█████▊    | 731/1250 [17:43<14:06,  1.63s/it]
Training 1/1 epoch (loss 2.4044):  58%|█████▊    | 731/1250 [17:44<14:06,  1.63s/it]
Training 1/1 epoch (loss 2.4044):  59%|█████▊    | 732/1250 [17:44<12:06,  1.40s/it]
Training 1/1 epoch (loss 2.5580):  59%|█████▊    | 732/1250 [17:46<12:06,  1.40s/it]
Training 1/1 epoch (loss 2.5580):  59%|█████▊    | 733/1250 [17:46<12:52,  1.49s/it]
Training 1/1 epoch (loss 2.6852):  59%|█████▊    | 733/1250 [17:47<12:52,  1.49s/it]
Training 1/1 epoch (loss 2.6852):  59%|█████▊    | 734/1250 [17:47<13:16,  1.54s/it]
Training 1/1 epoch (loss 2.6075):  59%|█████▊    | 734/1250 [17:49<13:16,  1.54s/it]
Training 1/1 epoch (loss 2.6075):  59%|█████▉    | 735/1250 [17:49<13:28,  1.57s/it]
Training 1/1 epoch (loss 2.8567):  59%|█████▉    | 735/1250 [17:51<13:28,  1.57s/it]
Training 1/1 epoch (loss 2.8567):  59%|█████▉    | 736/1250 [17:51<14:14,  1.66s/it]
Training 1/1 epoch (loss 2.5498):  59%|█████▉    | 736/1250 [17:52<14:14,  1.66s/it]
Training 1/1 epoch (loss 2.5498):  59%|█████▉    | 737/1250 [17:52<12:28,  1.46s/it]
Training 1/1 epoch (loss 2.6243):  59%|█████▉    | 737/1250 [17:54<12:28,  1.46s/it]
Training 1/1 epoch (loss 2.6243):  59%|█████▉    | 738/1250 [17:54<13:05,  1.53s/it]
Training 1/1 epoch (loss 2.7106):  59%|█████▉    | 738/1250 [17:56<13:05,  1.53s/it]
Training 1/1 epoch (loss 2.7106):  59%|█████▉    | 739/1250 [17:56<13:46,  1.62s/it]
Training 1/1 epoch (loss 2.6395):  59%|█████▉    | 739/1250 [17:56<13:46,  1.62s/it]
Training 1/1 epoch (loss 2.6395):  59%|█████▉    | 740/1250 [17:56<11:13,  1.32s/it]
Training 1/1 epoch (loss 2.6119):  59%|█████▉    | 740/1250 [17:59<11:13,  1.32s/it]
Training 1/1 epoch (loss 2.6119):  59%|█████▉    | 741/1250 [17:59<14:08,  1.67s/it]
Training 1/1 epoch (loss 2.7640):  59%|█████▉    | 741/1250 [18:00<14:08,  1.67s/it]
Training 1/1 epoch (loss 2.7640):  59%|█████▉    | 742/1250 [18:00<14:10,  1.67s/it]
Training 1/1 epoch (loss 2.6974):  59%|█████▉    | 742/1250 [18:01<14:10,  1.67s/it]
Training 1/1 epoch (loss 2.6974):  59%|█████▉    | 743/1250 [18:01<12:43,  1.51s/it]
Training 1/1 epoch (loss 2.7708):  59%|█████▉    | 743/1250 [18:04<12:43,  1.51s/it]
Training 1/1 epoch (loss 2.7708):  60%|█████▉    | 744/1250 [18:04<15:30,  1.84s/it]
Training 1/1 epoch (loss 2.6775):  60%|█████▉    | 744/1250 [18:05<15:30,  1.84s/it]
Training 1/1 epoch (loss 2.6775):  60%|█████▉    | 745/1250 [18:05<12:47,  1.52s/it]
Training 1/1 epoch (loss 2.7355):  60%|█████▉    | 745/1250 [18:07<12:47,  1.52s/it]
Training 1/1 epoch (loss 2.7355):  60%|█████▉    | 746/1250 [18:07<13:47,  1.64s/it]
Training 1/1 epoch (loss 2.5513):  60%|█████▉    | 746/1250 [18:08<13:47,  1.64s/it]
Training 1/1 epoch (loss 2.5513):  60%|█████▉    | 747/1250 [18:08<13:27,  1.61s/it]
Training 1/1 epoch (loss 2.7434):  60%|█████▉    | 747/1250 [18:09<13:27,  1.61s/it]
Training 1/1 epoch (loss 2.7434):  60%|█████▉    | 748/1250 [18:09<10:55,  1.31s/it]
Training 1/1 epoch (loss 2.5549):  60%|█████▉    | 748/1250 [18:11<10:55,  1.31s/it]
Training 1/1 epoch (loss 2.5549):  60%|█████▉    | 749/1250 [18:11<13:34,  1.63s/it]
Training 1/1 epoch (loss 2.7719):  60%|█████▉    | 749/1250 [18:14<13:34,  1.63s/it]
Training 1/1 epoch (loss 2.7719):  60%|██████    | 750/1250 [18:14<15:08,  1.82s/it]
Training 1/1 epoch (loss 2.4958):  60%|██████    | 750/1250 [18:14<15:08,  1.82s/it]
Training 1/1 epoch (loss 2.4958):  60%|██████    | 751/1250 [18:14<12:05,  1.45s/it]
Training 1/1 epoch (loss 2.7137):  60%|██████    | 751/1250 [18:16<12:05,  1.45s/it]
Training 1/1 epoch (loss 2.7137):  60%|██████    | 752/1250 [18:16<14:22,  1.73s/it]
Training 1/1 epoch (loss 2.8674):  60%|██████    | 752/1250 [18:18<14:22,  1.73s/it]
Training 1/1 epoch (loss 2.8674):  60%|██████    | 753/1250 [18:18<13:03,  1.58s/it]
Training 1/1 epoch (loss 2.8685):  60%|██████    | 753/1250 [18:19<13:03,  1.58s/it]
Training 1/1 epoch (loss 2.8685):  60%|██████    | 754/1250 [18:19<12:21,  1.49s/it]
Training 1/1 epoch (loss 2.6901):  60%|██████    | 754/1250 [18:21<12:21,  1.49s/it]
Training 1/1 epoch (loss 2.6901):  60%|██████    | 755/1250 [18:21<13:40,  1.66s/it]
Training 1/1 epoch (loss 2.9012):  60%|██████    | 755/1250 [18:22<13:40,  1.66s/it]
Training 1/1 epoch (loss 2.9012):  60%|██████    | 756/1250 [18:22<11:44,  1.43s/it]
Training 1/1 epoch (loss 2.6917):  60%|██████    | 756/1250 [18:23<11:44,  1.43s/it]
Training 1/1 epoch (loss 2.6917):  61%|██████    | 757/1250 [18:23<10:23,  1.26s/it]
Training 1/1 epoch (loss 2.6225):  61%|██████    | 757/1250 [18:24<10:23,  1.26s/it]
Training 1/1 epoch (loss 2.6225):  61%|██████    | 758/1250 [18:24<09:46,  1.19s/it]
Training 1/1 epoch (loss 2.6599):  61%|██████    | 758/1250 [18:25<09:46,  1.19s/it]
Training 1/1 epoch (loss 2.6599):  61%|██████    | 759/1250 [18:25<09:57,  1.22s/it]
Training 1/1 epoch (loss 2.7252):  61%|██████    | 759/1250 [18:27<09:57,  1.22s/it]
Training 1/1 epoch (loss 2.7252):  61%|██████    | 760/1250 [18:27<10:42,  1.31s/it]
Training 1/1 epoch (loss 2.7934):  61%|██████    | 760/1250 [18:28<10:42,  1.31s/it]
Training 1/1 epoch (loss 2.7934):  61%|██████    | 761/1250 [18:28<10:52,  1.33s/it]
Training 1/1 epoch (loss 2.5667):  61%|██████    | 761/1250 [18:28<10:52,  1.33s/it]
Training 1/1 epoch (loss 2.5667):  61%|██████    | 762/1250 [18:28<08:44,  1.07s/it]
Training 1/1 epoch (loss 2.5832):  61%|██████    | 762/1250 [18:30<08:44,  1.07s/it]
Training 1/1 epoch (loss 2.5832):  61%|██████    | 763/1250 [18:30<10:12,  1.26s/it]
Training 1/1 epoch (loss 2.7112):  61%|██████    | 763/1250 [18:32<10:12,  1.26s/it]
Training 1/1 epoch (loss 2.7112):  61%|██████    | 764/1250 [18:32<11:42,  1.45s/it]
Training 1/1 epoch (loss 2.7594):  61%|██████    | 764/1250 [18:32<11:42,  1.45s/it]
Training 1/1 epoch (loss 2.7594):  61%|██████    | 765/1250 [18:32<09:05,  1.12s/it]
Training 1/1 epoch (loss 2.4180):  61%|██████    | 765/1250 [18:35<09:05,  1.12s/it]
Training 1/1 epoch (loss 2.4180):  61%|██████▏   | 766/1250 [18:35<12:17,  1.52s/it]
Training 1/1 epoch (loss 2.4931):  61%|██████▏   | 766/1250 [18:37<12:17,  1.52s/it]
Training 1/1 epoch (loss 2.4931):  61%|██████▏   | 767/1250 [18:37<13:28,  1.67s/it]
Training 1/1 epoch (loss 2.7024):  61%|██████▏   | 767/1250 [18:38<13:28,  1.67s/it]
Training 1/1 epoch (loss 2.7024):  61%|██████▏   | 768/1250 [18:38<11:25,  1.42s/it]
Training 1/1 epoch (loss 2.8654):  61%|██████▏   | 768/1250 [18:39<11:25,  1.42s/it]
Training 1/1 epoch (loss 2.8654):  62%|██████▏   | 769/1250 [18:39<11:25,  1.43s/it]
Training 1/1 epoch (loss 2.7055):  62%|██████▏   | 769/1250 [18:40<11:25,  1.43s/it]
Training 1/1 epoch (loss 2.7055):  62%|██████▏   | 770/1250 [18:40<10:40,  1.34s/it]
Training 1/1 epoch (loss 2.7548):  62%|██████▏   | 770/1250 [18:41<10:40,  1.34s/it]
Training 1/1 epoch (loss 2.7548):  62%|██████▏   | 771/1250 [18:41<10:11,  1.28s/it]
Training 1/1 epoch (loss 2.7491):  62%|██████▏   | 771/1250 [18:43<10:11,  1.28s/it]
Training 1/1 epoch (loss 2.7491):  62%|██████▏   | 772/1250 [18:43<10:28,  1.31s/it]
Training 1/1 epoch (loss 2.6481):  62%|██████▏   | 772/1250 [18:44<10:28,  1.31s/it]
Training 1/1 epoch (loss 2.6481):  62%|██████▏   | 773/1250 [18:44<10:29,  1.32s/it]
Training 1/1 epoch (loss 2.6286):  62%|██████▏   | 773/1250 [18:45<10:29,  1.32s/it]
Training 1/1 epoch (loss 2.6286):  62%|██████▏   | 774/1250 [18:45<10:00,  1.26s/it]
Training 1/1 epoch (loss 2.7683):  62%|██████▏   | 774/1250 [18:48<10:00,  1.26s/it]
Training 1/1 epoch (loss 2.7683):  62%|██████▏   | 775/1250 [18:48<12:12,  1.54s/it]
Training 1/1 epoch (loss 2.5821):  62%|██████▏   | 775/1250 [18:48<12:12,  1.54s/it]
Training 1/1 epoch (loss 2.5821):  62%|██████▏   | 776/1250 [18:48<10:31,  1.33s/it]
Training 1/1 epoch (loss 2.7377):  62%|██████▏   | 776/1250 [18:50<10:31,  1.33s/it]
Training 1/1 epoch (loss 2.7377):  62%|██████▏   | 777/1250 [18:50<11:47,  1.50s/it]
Training 1/1 epoch (loss 2.7868):  62%|██████▏   | 777/1250 [18:52<11:47,  1.50s/it]
Training 1/1 epoch (loss 2.7868):  62%|██████▏   | 778/1250 [18:52<12:12,  1.55s/it]
Training 1/1 epoch (loss 2.6263):  62%|██████▏   | 778/1250 [18:53<12:12,  1.55s/it]
Training 1/1 epoch (loss 2.6263):  62%|██████▏   | 779/1250 [18:53<10:15,  1.31s/it]
Training 1/1 epoch (loss 2.9277):  62%|██████▏   | 779/1250 [18:55<10:15,  1.31s/it]
Training 1/1 epoch (loss 2.9277):  62%|██████▏   | 780/1250 [18:55<11:45,  1.50s/it]
Training 1/1 epoch (loss 2.5390):  62%|██████▏   | 780/1250 [18:55<11:45,  1.50s/it]
Training 1/1 epoch (loss 2.5390):  62%|██████▏   | 781/1250 [18:55<10:14,  1.31s/it]
Training 1/1 epoch (loss 2.7323):  62%|██████▏   | 781/1250 [18:57<10:14,  1.31s/it]
Training 1/1 epoch (loss 2.7323):  63%|██████▎   | 782/1250 [18:57<11:33,  1.48s/it]
Training 1/1 epoch (loss 2.7287):  63%|██████▎   | 782/1250 [18:59<11:33,  1.48s/it]
Training 1/1 epoch (loss 2.7287):  63%|██████▎   | 783/1250 [18:59<11:58,  1.54s/it]
Training 1/1 epoch (loss 2.5468):  63%|██████▎   | 783/1250 [19:00<11:58,  1.54s/it]
Training 1/1 epoch (loss 2.5468):  63%|██████▎   | 784/1250 [19:00<10:31,  1.36s/it]
Training 1/1 epoch (loss 2.8516):  63%|██████▎   | 784/1250 [19:02<10:31,  1.36s/it]
Training 1/1 epoch (loss 2.8516):  63%|██████▎   | 785/1250 [19:02<13:03,  1.68s/it]
Training 1/1 epoch (loss 2.7413):  63%|██████▎   | 785/1250 [19:04<13:03,  1.68s/it]
Training 1/1 epoch (loss 2.7413):  63%|██████▎   | 786/1250 [19:04<13:06,  1.69s/it]
Training 1/1 epoch (loss 2.7555):  63%|██████▎   | 786/1250 [19:05<13:06,  1.69s/it]
Training 1/1 epoch (loss 2.7555):  63%|██████▎   | 787/1250 [19:05<12:11,  1.58s/it]
Training 1/1 epoch (loss 2.5185):  63%|██████▎   | 787/1250 [19:07<12:11,  1.58s/it]
Training 1/1 epoch (loss 2.5185):  63%|██████▎   | 788/1250 [19:07<10:58,  1.43s/it]
Training 1/1 epoch (loss 2.4803):  63%|██████▎   | 788/1250 [19:07<10:58,  1.43s/it]
Training 1/1 epoch (loss 2.4803):  63%|██████▎   | 789/1250 [19:07<09:38,  1.25s/it]
Training 1/1 epoch (loss 2.5914):  63%|██████▎   | 789/1250 [19:09<09:38,  1.25s/it]
Training 1/1 epoch (loss 2.5914):  63%|██████▎   | 790/1250 [19:09<09:57,  1.30s/it]
Training 1/1 epoch (loss 2.6958):  63%|██████▎   | 790/1250 [19:10<09:57,  1.30s/it]
Training 1/1 epoch (loss 2.6958):  63%|██████▎   | 791/1250 [19:10<10:17,  1.34s/it]
Training 1/1 epoch (loss 2.6997):  63%|██████▎   | 791/1250 [19:11<10:17,  1.34s/it]
Training 1/1 epoch (loss 2.6997):  63%|██████▎   | 792/1250 [19:11<09:48,  1.29s/it]
Training 1/1 epoch (loss 2.4924):  63%|██████▎   | 792/1250 [19:13<09:48,  1.29s/it]
Training 1/1 epoch (loss 2.4924):  63%|██████▎   | 793/1250 [19:13<11:14,  1.48s/it]
Training 1/1 epoch (loss 2.6961):  63%|██████▎   | 793/1250 [19:14<11:14,  1.48s/it]
Training 1/1 epoch (loss 2.6961):  64%|██████▎   | 794/1250 [19:14<09:27,  1.24s/it]
Training 1/1 epoch (loss 2.8206):  64%|██████▎   | 794/1250 [19:16<09:27,  1.24s/it]
Training 1/1 epoch (loss 2.8206):  64%|██████▎   | 795/1250 [19:16<10:47,  1.42s/it]
Training 1/1 epoch (loss 2.6409):  64%|██████▎   | 795/1250 [19:18<10:47,  1.42s/it]
Training 1/1 epoch (loss 2.6409):  64%|██████▎   | 796/1250 [19:18<12:00,  1.59s/it]
Training 1/1 epoch (loss 2.5993):  64%|██████▎   | 796/1250 [19:18<12:00,  1.59s/it]
Training 1/1 epoch (loss 2.5993):  64%|██████▍   | 797/1250 [19:18<09:33,  1.27s/it]
Training 1/1 epoch (loss 2.8178):  64%|██████▍   | 797/1250 [19:19<09:33,  1.27s/it]
Training 1/1 epoch (loss 2.8178):  64%|██████▍   | 798/1250 [19:19<08:26,  1.12s/it]
Training 1/1 epoch (loss 2.7899):  64%|██████▍   | 798/1250 [19:21<08:26,  1.12s/it]
Training 1/1 epoch (loss 2.7899):  64%|██████▍   | 799/1250 [19:21<10:57,  1.46s/it]
Training 1/1 epoch (loss 2.7329):  64%|██████▍   | 799/1250 [19:22<10:57,  1.46s/it]
Training 1/1 epoch (loss 2.7329):  64%|██████▍   | 800/1250 [19:22<09:04,  1.21s/it]
Training 1/1 epoch (loss 2.6719):  64%|██████▍   | 800/1250 [19:24<09:04,  1.21s/it]
Training 1/1 epoch (loss 2.6719):  64%|██████▍   | 801/1250 [19:24<11:48,  1.58s/it]
Training 1/1 epoch (loss 2.8071):  64%|██████▍   | 801/1250 [19:26<11:48,  1.58s/it]
Training 1/1 epoch (loss 2.8071):  64%|██████▍   | 802/1250 [19:26<11:45,  1.57s/it]
Training 1/1 epoch (loss 2.6972):  64%|██████▍   | 802/1250 [19:27<11:45,  1.57s/it]
Training 1/1 epoch (loss 2.6972):  64%|██████▍   | 803/1250 [19:27<09:47,  1.31s/it]
Training 1/1 epoch (loss 2.5904):  64%|██████▍   | 803/1250 [19:29<09:47,  1.31s/it]
Training 1/1 epoch (loss 2.5904):  64%|██████▍   | 804/1250 [19:29<11:43,  1.58s/it]
Training 1/1 epoch (loss 2.6998):  64%|██████▍   | 804/1250 [19:30<11:43,  1.58s/it]
Training 1/1 epoch (loss 2.6998):  64%|██████▍   | 805/1250 [19:30<10:53,  1.47s/it]
Training 1/1 epoch (loss 2.6776):  64%|██████▍   | 805/1250 [19:31<10:53,  1.47s/it]
Training 1/1 epoch (loss 2.6776):  64%|██████▍   | 806/1250 [19:31<10:14,  1.38s/it]
Training 1/1 epoch (loss 2.6948):  64%|██████▍   | 806/1250 [19:33<10:14,  1.38s/it]
Training 1/1 epoch (loss 2.6948):  65%|██████▍   | 807/1250 [19:33<11:06,  1.51s/it]
Training 1/1 epoch (loss 2.5902):  65%|██████▍   | 807/1250 [19:35<11:06,  1.51s/it]
Training 1/1 epoch (loss 2.5902):  65%|██████▍   | 808/1250 [19:35<10:59,  1.49s/it]
Training 1/1 epoch (loss 2.6219):  65%|██████▍   | 808/1250 [19:35<10:59,  1.49s/it]
Training 1/1 epoch (loss 2.6219):  65%|██████▍   | 809/1250 [19:35<09:25,  1.28s/it]
Training 1/1 epoch (loss 2.7517):  65%|██████▍   | 809/1250 [19:37<09:25,  1.28s/it]
Training 1/1 epoch (loss 2.7517):  65%|██████▍   | 810/1250 [19:37<10:35,  1.44s/it]
Training 1/1 epoch (loss 2.6864):  65%|██████▍   | 810/1250 [19:38<10:35,  1.44s/it]
Training 1/1 epoch (loss 2.6864):  65%|██████▍   | 811/1250 [19:38<09:20,  1.28s/it]
Training 1/1 epoch (loss 2.6373):  65%|██████▍   | 811/1250 [19:39<09:20,  1.28s/it]
Training 1/1 epoch (loss 2.6373):  65%|██████▍   | 812/1250 [19:39<09:34,  1.31s/it]
Training 1/1 epoch (loss 2.6046):  65%|██████▍   | 812/1250 [19:41<09:34,  1.31s/it]
Training 1/1 epoch (loss 2.6046):  65%|██████▌   | 813/1250 [19:41<10:48,  1.48s/it]
Training 1/1 epoch (loss 2.7451):  65%|██████▌   | 813/1250 [19:43<10:48,  1.48s/it]
Training 1/1 epoch (loss 2.7451):  65%|██████▌   | 814/1250 [19:43<10:13,  1.41s/it]
Training 1/1 epoch (loss 2.7245):  65%|██████▌   | 814/1250 [19:44<10:13,  1.41s/it]
Training 1/1 epoch (loss 2.7245):  65%|██████▌   | 815/1250 [19:44<10:45,  1.48s/it]
Training 1/1 epoch (loss 2.8191):  65%|██████▌   | 815/1250 [19:46<10:45,  1.48s/it]
Training 1/1 epoch (loss 2.8191):  65%|██████▌   | 816/1250 [19:46<12:14,  1.69s/it]
Training 1/1 epoch (loss 2.7213):  65%|██████▌   | 816/1250 [19:47<12:14,  1.69s/it]
Training 1/1 epoch (loss 2.7213):  65%|██████▌   | 817/1250 [19:47<09:42,  1.35s/it]
Training 1/1 epoch (loss 2.5633):  65%|██████▌   | 817/1250 [19:48<09:42,  1.35s/it]
Training 1/1 epoch (loss 2.5633):  65%|██████▌   | 818/1250 [19:48<10:00,  1.39s/it]
Training 1/1 epoch (loss 2.8654):  65%|██████▌   | 818/1250 [19:50<10:00,  1.39s/it]
Training 1/1 epoch (loss 2.8654):  66%|██████▌   | 819/1250 [19:50<09:52,  1.37s/it]
Training 1/1 epoch (loss 2.6678):  66%|██████▌   | 819/1250 [19:51<09:52,  1.37s/it]
Training 1/1 epoch (loss 2.6678):  66%|██████▌   | 820/1250 [19:51<09:29,  1.32s/it]
Training 1/1 epoch (loss 2.5536):  66%|██████▌   | 820/1250 [19:53<09:29,  1.32s/it]
Training 1/1 epoch (loss 2.5536):  66%|██████▌   | 821/1250 [19:53<11:12,  1.57s/it]
Training 1/1 epoch (loss 2.5230):  66%|██████▌   | 821/1250 [19:54<11:12,  1.57s/it]
Training 1/1 epoch (loss 2.5230):  66%|██████▌   | 822/1250 [19:54<09:56,  1.39s/it]
Training 1/1 epoch (loss 2.5456):  66%|██████▌   | 822/1250 [19:56<09:56,  1.39s/it]
Training 1/1 epoch (loss 2.5456):  66%|██████▌   | 823/1250 [19:56<11:11,  1.57s/it]
Training 1/1 epoch (loss 2.5544):  66%|██████▌   | 823/1250 [19:59<11:11,  1.57s/it]
Training 1/1 epoch (loss 2.5544):  66%|██████▌   | 824/1250 [19:59<13:06,  1.85s/it]
Training 1/1 epoch (loss 2.6037):  66%|██████▌   | 824/1250 [19:59<13:06,  1.85s/it]
Training 1/1 epoch (loss 2.6037):  66%|██████▌   | 825/1250 [19:59<10:43,  1.51s/it]
Training 1/1 epoch (loss 2.8248):  66%|██████▌   | 825/1250 [20:02<10:43,  1.51s/it]
Training 1/1 epoch (loss 2.8248):  66%|██████▌   | 826/1250 [20:02<12:38,  1.79s/it]
Training 1/1 epoch (loss 2.7406):  66%|██████▌   | 826/1250 [20:03<12:38,  1.79s/it]
Training 1/1 epoch (loss 2.7406):  66%|██████▌   | 827/1250 [20:03<10:45,  1.53s/it]
Training 1/1 epoch (loss 2.6210):  66%|██████▌   | 827/1250 [20:04<10:45,  1.53s/it]
Training 1/1 epoch (loss 2.6210):  66%|██████▌   | 828/1250 [20:04<10:03,  1.43s/it]
Training 1/1 epoch (loss 2.6626):  66%|██████▌   | 828/1250 [20:06<10:03,  1.43s/it]
Training 1/1 epoch (loss 2.6626):  66%|██████▋   | 829/1250 [20:06<11:17,  1.61s/it]
Training 1/1 epoch (loss 2.5908):  66%|██████▋   | 829/1250 [20:07<11:17,  1.61s/it]
Training 1/1 epoch (loss 2.5908):  66%|██████▋   | 830/1250 [20:07<09:36,  1.37s/it]
Training 1/1 epoch (loss 2.6566):  66%|██████▋   | 830/1250 [20:09<09:36,  1.37s/it]
Training 1/1 epoch (loss 2.6566):  66%|██████▋   | 831/1250 [20:09<11:07,  1.59s/it]
Training 1/1 epoch (loss 2.8076):  66%|██████▋   | 831/1250 [20:11<11:07,  1.59s/it]
Training 1/1 epoch (loss 2.8076):  67%|██████▋   | 832/1250 [20:11<12:54,  1.85s/it]
Training 1/1 epoch (loss 2.6334):  67%|██████▋   | 832/1250 [20:12<12:54,  1.85s/it]
Training 1/1 epoch (loss 2.6334):  67%|██████▋   | 833/1250 [20:12<10:24,  1.50s/it]
Training 1/1 epoch (loss 2.7484):  67%|██████▋   | 833/1250 [20:14<10:24,  1.50s/it]
Training 1/1 epoch (loss 2.7484):  67%|██████▋   | 834/1250 [20:14<11:24,  1.65s/it]
Training 1/1 epoch (loss 2.9280):  67%|██████▋   | 834/1250 [20:15<11:24,  1.65s/it]
Training 1/1 epoch (loss 2.9280):  67%|██████▋   | 835/1250 [20:15<10:28,  1.52s/it]
Training 1/1 epoch (loss 2.7084):  67%|██████▋   | 835/1250 [20:16<10:28,  1.52s/it]
Training 1/1 epoch (loss 2.7084):  67%|██████▋   | 836/1250 [20:16<09:04,  1.32s/it]
Training 1/1 epoch (loss 2.6488):  67%|██████▋   | 836/1250 [20:17<09:04,  1.32s/it]
Training 1/1 epoch (loss 2.6488):  67%|██████▋   | 837/1250 [20:17<08:45,  1.27s/it]
Training 1/1 epoch (loss 2.7718):  67%|██████▋   | 837/1250 [20:19<08:45,  1.27s/it]
Training 1/1 epoch (loss 2.7718):  67%|██████▋   | 838/1250 [20:19<09:17,  1.35s/it]
Training 1/1 epoch (loss 2.7501):  67%|██████▋   | 838/1250 [20:20<09:17,  1.35s/it]
Training 1/1 epoch (loss 2.7501):  67%|██████▋   | 839/1250 [20:20<09:05,  1.33s/it]
Training 1/1 epoch (loss 2.4763):  67%|██████▋   | 839/1250 [20:22<09:05,  1.33s/it]
Training 1/1 epoch (loss 2.4763):  67%|██████▋   | 840/1250 [20:22<10:03,  1.47s/it]
Training 1/1 epoch (loss 2.6610):  67%|██████▋   | 840/1250 [20:23<10:03,  1.47s/it]
Training 1/1 epoch (loss 2.6610):  67%|██████▋   | 841/1250 [20:23<08:42,  1.28s/it]
Training 1/1 epoch (loss 2.7635):  67%|██████▋   | 841/1250 [20:25<08:42,  1.28s/it]
Training 1/1 epoch (loss 2.7635):  67%|██████▋   | 842/1250 [20:25<10:10,  1.50s/it]
Training 1/1 epoch (loss 2.6070):  67%|██████▋   | 842/1250 [20:27<10:10,  1.50s/it]
Training 1/1 epoch (loss 2.6070):  67%|██████▋   | 843/1250 [20:27<11:07,  1.64s/it]
Training 1/1 epoch (loss 2.7478):  67%|██████▋   | 843/1250 [20:27<11:07,  1.64s/it]
Training 1/1 epoch (loss 2.7478):  68%|██████▊   | 844/1250 [20:27<08:53,  1.31s/it]
Training 1/1 epoch (loss 2.6853):  68%|██████▊   | 844/1250 [20:30<08:53,  1.31s/it]
Training 1/1 epoch (loss 2.6853):  68%|██████▊   | 845/1250 [20:30<11:12,  1.66s/it]
Training 1/1 epoch (loss 2.7749):  68%|██████▊   | 845/1250 [20:32<11:12,  1.66s/it]
Training 1/1 epoch (loss 2.7749):  68%|██████▊   | 846/1250 [20:32<11:44,  1.74s/it]
Training 1/1 epoch (loss 2.5871):  68%|██████▊   | 846/1250 [20:32<11:44,  1.74s/it]
Training 1/1 epoch (loss 2.5871):  68%|██████▊   | 847/1250 [20:32<09:12,  1.37s/it]
Training 1/1 epoch (loss 2.6719):  68%|██████▊   | 847/1250 [20:35<09:12,  1.37s/it]
Training 1/1 epoch (loss 2.6719):  68%|██████▊   | 848/1250 [20:35<12:04,  1.80s/it]
Training 1/1 epoch (loss 2.7285):  68%|██████▊   | 848/1250 [20:36<12:04,  1.80s/it]
Training 1/1 epoch (loss 2.7285):  68%|██████▊   | 849/1250 [20:36<11:00,  1.65s/it]
Training 1/1 epoch (loss 2.8668):  68%|██████▊   | 849/1250 [20:37<11:00,  1.65s/it]
Training 1/1 epoch (loss 2.8668):  68%|██████▊   | 850/1250 [20:37<09:47,  1.47s/it]
Training 1/1 epoch (loss 2.6040):  68%|██████▊   | 850/1250 [20:40<09:47,  1.47s/it]
Training 1/1 epoch (loss 2.6040):  68%|██████▊   | 851/1250 [20:40<11:53,  1.79s/it]
Training 1/1 epoch (loss 2.5228):  68%|██████▊   | 851/1250 [20:41<11:53,  1.79s/it]
Training 1/1 epoch (loss 2.5228):  68%|██████▊   | 852/1250 [20:41<10:40,  1.61s/it]
Training 1/1 epoch (loss 2.8685):  68%|██████▊   | 852/1250 [20:42<10:40,  1.61s/it]
Training 1/1 epoch (loss 2.8685):  68%|██████▊   | 853/1250 [20:42<09:01,  1.36s/it]
Training 1/1 epoch (loss 2.5838):  68%|██████▊   | 853/1250 [20:44<09:01,  1.36s/it]
Training 1/1 epoch (loss 2.5838):  68%|██████▊   | 854/1250 [20:44<09:58,  1.51s/it]
Training 1/1 epoch (loss 2.8192):  68%|██████▊   | 854/1250 [20:45<09:58,  1.51s/it]
Training 1/1 epoch (loss 2.8192):  68%|██████▊   | 855/1250 [20:45<09:42,  1.47s/it]
Training 1/1 epoch (loss 2.4231):  68%|██████▊   | 855/1250 [20:47<09:42,  1.47s/it]
Training 1/1 epoch (loss 2.4231):  68%|██████▊   | 856/1250 [20:47<11:15,  1.72s/it]
Training 1/1 epoch (loss 2.7046):  68%|██████▊   | 856/1250 [20:50<11:15,  1.72s/it]
Training 1/1 epoch (loss 2.7046):  69%|██████▊   | 857/1250 [20:50<12:44,  1.95s/it]
Training 1/1 epoch (loss 2.6511):  69%|██████▊   | 857/1250 [20:50<12:44,  1.95s/it]
Training 1/1 epoch (loss 2.6511):  69%|██████▊   | 858/1250 [20:50<09:40,  1.48s/it]
Training 1/1 epoch (loss 2.6272):  69%|██████▊   | 858/1250 [20:52<09:40,  1.48s/it]
Training 1/1 epoch (loss 2.6272):  69%|██████▊   | 859/1250 [20:52<09:42,  1.49s/it]
Training 1/1 epoch (loss 2.6787):  69%|██████▊   | 859/1250 [20:53<09:42,  1.49s/it]
Training 1/1 epoch (loss 2.6787):  69%|██████▉   | 860/1250 [20:53<08:46,  1.35s/it]
Training 1/1 epoch (loss 2.7306):  69%|██████▉   | 860/1250 [20:53<08:46,  1.35s/it]
Training 1/1 epoch (loss 2.7306):  69%|██████▉   | 861/1250 [20:53<07:12,  1.11s/it]
Training 1/1 epoch (loss 2.6572):  69%|██████▉   | 861/1250 [20:54<07:12,  1.11s/it]
Training 1/1 epoch (loss 2.6572):  69%|██████▉   | 862/1250 [20:54<07:29,  1.16s/it]
Training 1/1 epoch (loss 2.6747):  69%|██████▉   | 862/1250 [20:56<07:29,  1.16s/it]
Training 1/1 epoch (loss 2.6747):  69%|██████▉   | 863/1250 [20:56<08:46,  1.36s/it]
Training 1/1 epoch (loss 2.6220):  69%|██████▉   | 863/1250 [20:57<08:46,  1.36s/it]
Training 1/1 epoch (loss 2.6220):  69%|██████▉   | 864/1250 [20:57<07:09,  1.11s/it]
Training 1/1 epoch (loss 2.6189):  69%|██████▉   | 864/1250 [20:58<07:09,  1.11s/it]
Training 1/1 epoch (loss 2.6189):  69%|██████▉   | 865/1250 [20:58<07:34,  1.18s/it]
Training 1/1 epoch (loss 2.5555):  69%|██████▉   | 865/1250 [20:59<07:34,  1.18s/it]
Training 1/1 epoch (loss 2.5555):  69%|██████▉   | 866/1250 [20:59<07:00,  1.10s/it]
Training 1/1 epoch (loss 2.7253):  69%|██████▉   | 866/1250 [21:00<07:00,  1.10s/it]
Training 1/1 epoch (loss 2.7253):  69%|██████▉   | 867/1250 [21:00<07:36,  1.19s/it]
Training 1/1 epoch (loss 2.8992):  69%|██████▉   | 867/1250 [21:02<07:36,  1.19s/it]
Training 1/1 epoch (loss 2.8992):  69%|██████▉   | 868/1250 [21:02<08:34,  1.35s/it]
Training 1/1 epoch (loss 2.5155):  69%|██████▉   | 868/1250 [21:03<08:34,  1.35s/it]
Training 1/1 epoch (loss 2.5155):  70%|██████▉   | 869/1250 [21:03<08:23,  1.32s/it]
Training 1/1 epoch (loss 2.5539):  70%|██████▉   | 869/1250 [21:04<08:23,  1.32s/it]
Training 1/1 epoch (loss 2.5539):  70%|██████▉   | 870/1250 [21:04<07:37,  1.20s/it]
Training 1/1 epoch (loss 2.5812):  70%|██████▉   | 870/1250 [21:06<07:37,  1.20s/it]
Training 1/1 epoch (loss 2.5812):  70%|██████▉   | 871/1250 [21:06<08:52,  1.41s/it]
Training 1/1 epoch (loss 2.6973):  70%|██████▉   | 871/1250 [21:07<08:52,  1.41s/it]
Training 1/1 epoch (loss 2.6973):  70%|██████▉   | 872/1250 [21:07<08:22,  1.33s/it]
Training 1/1 epoch (loss 2.8565):  70%|██████▉   | 872/1250 [21:09<08:22,  1.33s/it]
Training 1/1 epoch (loss 2.8565):  70%|██████▉   | 873/1250 [21:09<09:04,  1.45s/it]
Training 1/1 epoch (loss 2.6369):  70%|██████▉   | 873/1250 [21:11<09:04,  1.45s/it]
Training 1/1 epoch (loss 2.6369):  70%|██████▉   | 874/1250 [21:11<09:11,  1.47s/it]
Training 1/1 epoch (loss 2.6899):  70%|██████▉   | 874/1250 [21:11<09:11,  1.47s/it]
Training 1/1 epoch (loss 2.6899):  70%|███████   | 875/1250 [21:11<07:38,  1.22s/it]
Training 1/1 epoch (loss 2.7327):  70%|███████   | 875/1250 [21:13<07:38,  1.22s/it]
Training 1/1 epoch (loss 2.7327):  70%|███████   | 876/1250 [21:13<08:24,  1.35s/it]
Training 1/1 epoch (loss 2.7875):  70%|███████   | 876/1250 [21:15<08:24,  1.35s/it]
Training 1/1 epoch (loss 2.7875):  70%|███████   | 877/1250 [21:15<10:21,  1.67s/it]
Training 1/1 epoch (loss 2.8844):  70%|███████   | 877/1250 [21:16<10:21,  1.67s/it]
Training 1/1 epoch (loss 2.8844):  70%|███████   | 878/1250 [21:16<08:16,  1.33s/it]
Training 1/1 epoch (loss 2.7399):  70%|███████   | 878/1250 [21:18<08:16,  1.33s/it]
Training 1/1 epoch (loss 2.7399):  70%|███████   | 879/1250 [21:18<09:15,  1.50s/it]
Training 1/1 epoch (loss 2.8027):  70%|███████   | 879/1250 [21:20<09:15,  1.50s/it]
Training 1/1 epoch (loss 2.8027):  70%|███████   | 880/1250 [21:20<10:31,  1.71s/it]
Training 1/1 epoch (loss 2.5869):  70%|███████   | 880/1250 [21:21<10:31,  1.71s/it]
Training 1/1 epoch (loss 2.5869):  70%|███████   | 881/1250 [21:21<08:42,  1.42s/it]
Training 1/1 epoch (loss 2.7144):  70%|███████   | 881/1250 [21:23<08:42,  1.42s/it]
Training 1/1 epoch (loss 2.7144):  71%|███████   | 882/1250 [21:23<10:32,  1.72s/it]
Training 1/1 epoch (loss 2.8267):  71%|███████   | 882/1250 [21:25<10:32,  1.72s/it]
Training 1/1 epoch (loss 2.8267):  71%|███████   | 883/1250 [21:25<10:34,  1.73s/it]
Training 1/1 epoch (loss 2.7582):  71%|███████   | 883/1250 [21:26<10:34,  1.73s/it]
Training 1/1 epoch (loss 2.7582):  71%|███████   | 884/1250 [21:26<08:53,  1.46s/it]
Training 1/1 epoch (loss 2.6409):  71%|███████   | 884/1250 [21:28<08:53,  1.46s/it]
Training 1/1 epoch (loss 2.6409):  71%|███████   | 885/1250 [21:28<09:43,  1.60s/it]
Training 1/1 epoch (loss 2.7405):  71%|███████   | 885/1250 [21:29<09:43,  1.60s/it]
Training 1/1 epoch (loss 2.7405):  71%|███████   | 886/1250 [21:29<09:05,  1.50s/it]
Training 1/1 epoch (loss 2.6895):  71%|███████   | 886/1250 [21:30<09:05,  1.50s/it]
Training 1/1 epoch (loss 2.6895):  71%|███████   | 887/1250 [21:30<09:15,  1.53s/it]
Training 1/1 epoch (loss 2.6292):  71%|███████   | 887/1250 [21:32<09:15,  1.53s/it]
Training 1/1 epoch (loss 2.6292):  71%|███████   | 888/1250 [21:32<09:07,  1.51s/it]
Training 1/1 epoch (loss 2.6776):  71%|███████   | 888/1250 [21:33<09:07,  1.51s/it]
Training 1/1 epoch (loss 2.6776):  71%|███████   | 889/1250 [21:33<07:28,  1.24s/it]
Training 1/1 epoch (loss 2.6891):  71%|███████   | 889/1250 [21:34<07:28,  1.24s/it]
Training 1/1 epoch (loss 2.6891):  71%|███████   | 890/1250 [21:34<07:47,  1.30s/it]
Training 1/1 epoch (loss 2.8467):  71%|███████   | 890/1250 [21:36<07:47,  1.30s/it]
Training 1/1 epoch (loss 2.8467):  71%|███████▏  | 891/1250 [21:36<09:06,  1.52s/it]
Training 1/1 epoch (loss 2.6832):  71%|███████▏  | 891/1250 [21:37<09:06,  1.52s/it]
Training 1/1 epoch (loss 2.6832):  71%|███████▏  | 892/1250 [21:37<07:18,  1.23s/it]
Training 1/1 epoch (loss 2.5314):  71%|███████▏  | 892/1250 [21:38<07:18,  1.23s/it]
Training 1/1 epoch (loss 2.5314):  71%|███████▏  | 893/1250 [21:38<08:24,  1.41s/it]
Training 1/1 epoch (loss 2.5042):  71%|███████▏  | 893/1250 [21:40<08:24,  1.41s/it]
Training 1/1 epoch (loss 2.5042):  72%|███████▏  | 894/1250 [21:40<08:57,  1.51s/it]
Training 1/1 epoch (loss 2.9929):  72%|███████▏  | 894/1250 [21:41<08:57,  1.51s/it]
Training 1/1 epoch (loss 2.9929):  72%|███████▏  | 895/1250 [21:41<07:54,  1.34s/it]
Training 1/1 epoch (loss 2.3838):  72%|███████▏  | 895/1250 [21:43<07:54,  1.34s/it]
Training 1/1 epoch (loss 2.3838):  72%|███████▏  | 896/1250 [21:43<08:40,  1.47s/it]
Training 1/1 epoch (loss 2.6608):  72%|███████▏  | 896/1250 [21:44<08:40,  1.47s/it]
Training 1/1 epoch (loss 2.6608):  72%|███████▏  | 897/1250 [21:44<08:08,  1.38s/it]
Training 1/1 epoch (loss 2.7744):  72%|███████▏  | 897/1250 [21:45<08:08,  1.38s/it]
Training 1/1 epoch (loss 2.7744):  72%|███████▏  | 898/1250 [21:45<07:09,  1.22s/it]
Training 1/1 epoch (loss 2.7042):  72%|███████▏  | 898/1250 [21:47<07:09,  1.22s/it]
Training 1/1 epoch (loss 2.7042):  72%|███████▏  | 899/1250 [21:47<07:53,  1.35s/it]
Training 1/1 epoch (loss 2.8693):  72%|███████▏  | 899/1250 [21:47<07:53,  1.35s/it]
Training 1/1 epoch (loss 2.8693):  72%|███████▏  | 900/1250 [21:47<06:56,  1.19s/it]
Training 1/1 epoch (loss 2.7175):  72%|███████▏  | 900/1250 [21:49<06:56,  1.19s/it]
Training 1/1 epoch (loss 2.7175):  72%|███████▏  | 901/1250 [21:49<08:01,  1.38s/it]
Training 1/1 epoch (loss 2.7248):  72%|███████▏  | 901/1250 [21:51<08:01,  1.38s/it]
Training 1/1 epoch (loss 2.7248):  72%|███████▏  | 902/1250 [21:51<08:51,  1.53s/it]
Training 1/1 epoch (loss 2.6919):  72%|███████▏  | 902/1250 [21:52<08:51,  1.53s/it]
Training 1/1 epoch (loss 2.6919):  72%|███████▏  | 903/1250 [21:52<06:58,  1.21s/it]
Training 1/1 epoch (loss 2.7169):  72%|███████▏  | 903/1250 [21:54<06:58,  1.21s/it]
Training 1/1 epoch (loss 2.7169):  72%|███████▏  | 904/1250 [21:54<08:37,  1.50s/it]
Training 1/1 epoch (loss 2.5795):  72%|███████▏  | 904/1250 [21:56<08:37,  1.50s/it]
Training 1/1 epoch (loss 2.5795):  72%|███████▏  | 905/1250 [21:56<09:30,  1.65s/it]
Training 1/1 epoch (loss 2.5783):  72%|███████▏  | 905/1250 [21:56<09:30,  1.65s/it]
Training 1/1 epoch (loss 2.5783):  72%|███████▏  | 906/1250 [21:56<07:44,  1.35s/it]
Training 1/1 epoch (loss 2.5576):  72%|███████▏  | 906/1250 [21:58<07:44,  1.35s/it]
Training 1/1 epoch (loss 2.5576):  73%|███████▎  | 907/1250 [21:58<08:20,  1.46s/it]
Training 1/1 epoch (loss 2.5391):  73%|███████▎  | 907/1250 [22:00<08:20,  1.46s/it]
Training 1/1 epoch (loss 2.5391):  73%|███████▎  | 908/1250 [22:00<08:41,  1.52s/it]
Training 1/1 epoch (loss 2.8032):  73%|███████▎  | 908/1250 [22:00<08:41,  1.52s/it]
Training 1/1 epoch (loss 2.8032):  73%|███████▎  | 909/1250 [22:00<06:54,  1.21s/it]
Training 1/1 epoch (loss 2.5881):  73%|███████▎  | 909/1250 [22:03<06:54,  1.21s/it]
Training 1/1 epoch (loss 2.5881):  73%|███████▎  | 910/1250 [22:03<08:55,  1.57s/it]
Training 1/1 epoch (loss 2.4540):  73%|███████▎  | 910/1250 [22:04<08:55,  1.57s/it]
Training 1/1 epoch (loss 2.4540):  73%|███████▎  | 911/1250 [22:04<08:54,  1.58s/it]
Training 1/1 epoch (loss 2.7098):  73%|███████▎  | 911/1250 [22:06<08:54,  1.58s/it]
Training 1/1 epoch (loss 2.7098):  73%|███████▎  | 912/1250 [22:06<08:20,  1.48s/it]
Training 1/1 epoch (loss 2.5207):  73%|███████▎  | 912/1250 [22:07<08:20,  1.48s/it]
Training 1/1 epoch (loss 2.5207):  73%|███████▎  | 913/1250 [22:07<08:47,  1.57s/it]
Training 1/1 epoch (loss 2.6465):  73%|███████▎  | 913/1250 [22:08<08:47,  1.57s/it]
Training 1/1 epoch (loss 2.6465):  73%|███████▎  | 914/1250 [22:08<08:06,  1.45s/it]
Training 1/1 epoch (loss 2.7619):  73%|███████▎  | 914/1250 [22:11<08:06,  1.45s/it]
Training 1/1 epoch (loss 2.7619):  73%|███████▎  | 915/1250 [22:11<09:12,  1.65s/it]
Training 1/1 epoch (loss 2.7077):  73%|███████▎  | 915/1250 [22:13<09:12,  1.65s/it]
Training 1/1 epoch (loss 2.7077):  73%|███████▎  | 916/1250 [22:13<09:47,  1.76s/it]
Training 1/1 epoch (loss 2.4952):  73%|███████▎  | 916/1250 [22:13<09:47,  1.76s/it]
Training 1/1 epoch (loss 2.4952):  73%|███████▎  | 917/1250 [22:13<07:35,  1.37s/it]
Training 1/1 epoch (loss 2.8712):  73%|███████▎  | 917/1250 [22:15<07:35,  1.37s/it]
Training 1/1 epoch (loss 2.8712):  73%|███████▎  | 918/1250 [22:15<09:23,  1.70s/it]
Training 1/1 epoch (loss 2.6132):  73%|███████▎  | 918/1250 [22:17<09:23,  1.70s/it]
Training 1/1 epoch (loss 2.6132):  74%|███████▎  | 919/1250 [22:17<09:31,  1.73s/it]
Training 1/1 epoch (loss 2.7621):  74%|███████▎  | 919/1250 [22:18<09:31,  1.73s/it]
Training 1/1 epoch (loss 2.7621):  74%|███████▎  | 920/1250 [22:18<07:57,  1.45s/it]
Training 1/1 epoch (loss 2.6635):  74%|███████▎  | 920/1250 [22:20<07:57,  1.45s/it]
Training 1/1 epoch (loss 2.6635):  74%|███████▎  | 921/1250 [22:20<08:34,  1.57s/it]
Training 1/1 epoch (loss 2.6139):  74%|███████▎  | 921/1250 [22:21<08:34,  1.57s/it]
Training 1/1 epoch (loss 2.6139):  74%|███████▍  | 922/1250 [22:21<08:32,  1.56s/it]
Training 1/1 epoch (loss 2.5961):  74%|███████▍  | 922/1250 [22:23<08:32,  1.56s/it]
Training 1/1 epoch (loss 2.5961):  74%|███████▍  | 923/1250 [22:23<08:18,  1.53s/it]
Training 1/1 epoch (loss 2.8740):  74%|███████▍  | 923/1250 [22:25<08:18,  1.53s/it]
Training 1/1 epoch (loss 2.8740):  74%|███████▍  | 924/1250 [22:25<08:48,  1.62s/it]
Training 1/1 epoch (loss 2.7074):  74%|███████▍  | 924/1250 [22:26<08:48,  1.62s/it]
Training 1/1 epoch (loss 2.7074):  74%|███████▍  | 925/1250 [22:26<07:33,  1.40s/it]
Training 1/1 epoch (loss 2.6904):  74%|███████▍  | 925/1250 [22:27<07:33,  1.40s/it]
Training 1/1 epoch (loss 2.6904):  74%|███████▍  | 926/1250 [22:27<07:58,  1.48s/it]
Training 1/1 epoch (loss 2.5773):  74%|███████▍  | 926/1250 [22:29<07:58,  1.48s/it]
Training 1/1 epoch (loss 2.5773):  74%|███████▍  | 927/1250 [22:29<09:04,  1.68s/it]
Training 1/1 epoch (loss 2.9245):  74%|███████▍  | 927/1250 [22:30<09:04,  1.68s/it]
Training 1/1 epoch (loss 2.9245):  74%|███████▍  | 928/1250 [22:30<07:23,  1.38s/it]
Training 1/1 epoch (loss 2.7632):  74%|███████▍  | 928/1250 [22:32<07:23,  1.38s/it]
Training 1/1 epoch (loss 2.7632):  74%|███████▍  | 929/1250 [22:32<07:28,  1.40s/it]
Training 1/1 epoch (loss 2.8952):  74%|███████▍  | 929/1250 [22:33<07:28,  1.40s/it]
Training 1/1 epoch (loss 2.8952):  74%|███████▍  | 930/1250 [22:33<07:37,  1.43s/it]
Training 1/1 epoch (loss 2.7696):  74%|███████▍  | 930/1250 [22:34<07:37,  1.43s/it]
Training 1/1 epoch (loss 2.7696):  74%|███████▍  | 931/1250 [22:34<06:52,  1.29s/it]
Training 1/1 epoch (loss 2.7186):  74%|███████▍  | 931/1250 [22:36<06:52,  1.29s/it]
Training 1/1 epoch (loss 2.7186):  75%|███████▍  | 932/1250 [22:36<07:50,  1.48s/it]
Training 1/1 epoch (loss 2.7051):  75%|███████▍  | 932/1250 [22:37<07:50,  1.48s/it]
Training 1/1 epoch (loss 2.7051):  75%|███████▍  | 933/1250 [22:37<07:39,  1.45s/it]
Training 1/1 epoch (loss 2.5770):  75%|███████▍  | 933/1250 [22:38<07:39,  1.45s/it]
Training 1/1 epoch (loss 2.5770):  75%|███████▍  | 934/1250 [22:38<07:08,  1.36s/it]
Training 1/1 epoch (loss 2.5845):  75%|███████▍  | 934/1250 [22:40<07:08,  1.36s/it]
Training 1/1 epoch (loss 2.5845):  75%|███████▍  | 935/1250 [22:40<07:09,  1.36s/it]
Training 1/1 epoch (loss 2.7230):  75%|███████▍  | 935/1250 [22:41<07:09,  1.36s/it]
Training 1/1 epoch (loss 2.7230):  75%|███████▍  | 936/1250 [22:41<06:51,  1.31s/it]
Training 1/1 epoch (loss 2.4744):  75%|███████▍  | 936/1250 [22:42<06:51,  1.31s/it]
Training 1/1 epoch (loss 2.4744):  75%|███████▍  | 937/1250 [22:42<06:34,  1.26s/it]
Training 1/1 epoch (loss 2.5986):  75%|███████▍  | 937/1250 [22:44<06:34,  1.26s/it]
Training 1/1 epoch (loss 2.5986):  75%|███████▌  | 938/1250 [22:44<07:26,  1.43s/it]
Training 1/1 epoch (loss 2.7346):  75%|███████▌  | 938/1250 [22:45<07:26,  1.43s/it]
Training 1/1 epoch (loss 2.7346):  75%|███████▌  | 939/1250 [22:45<06:41,  1.29s/it]
Training 1/1 epoch (loss 2.7104):  75%|███████▌  | 939/1250 [22:47<06:41,  1.29s/it]
Training 1/1 epoch (loss 2.7104):  75%|███████▌  | 940/1250 [22:47<07:15,  1.41s/it]
Training 1/1 epoch (loss 2.6661):  75%|███████▌  | 940/1250 [22:48<07:15,  1.41s/it]
Training 1/1 epoch (loss 2.6661):  75%|███████▌  | 941/1250 [22:48<07:15,  1.41s/it]
Training 1/1 epoch (loss 2.6440):  75%|███████▌  | 941/1250 [22:49<07:15,  1.41s/it]
Training 1/1 epoch (loss 2.6440):  75%|███████▌  | 942/1250 [22:49<06:33,  1.28s/it]
Training 1/1 epoch (loss 2.4992):  75%|███████▌  | 942/1250 [22:51<06:33,  1.28s/it]
Training 1/1 epoch (loss 2.4992):  75%|███████▌  | 943/1250 [22:51<07:25,  1.45s/it]
Training 1/1 epoch (loss 2.4048):  75%|███████▌  | 943/1250 [22:53<07:25,  1.45s/it]
Training 1/1 epoch (loss 2.4048):  76%|███████▌  | 944/1250 [22:53<07:47,  1.53s/it]
Training 1/1 epoch (loss 2.6602):  76%|███████▌  | 944/1250 [22:53<07:47,  1.53s/it]
Training 1/1 epoch (loss 2.6602):  76%|███████▌  | 945/1250 [22:53<06:19,  1.24s/it]
Training 1/1 epoch (loss 2.7099):  76%|███████▌  | 945/1250 [22:56<06:19,  1.24s/it]
Training 1/1 epoch (loss 2.7099):  76%|███████▌  | 946/1250 [22:56<08:08,  1.61s/it]
Training 1/1 epoch (loss 2.6009):  76%|███████▌  | 946/1250 [22:57<08:08,  1.61s/it]
Training 1/1 epoch (loss 2.6009):  76%|███████▌  | 947/1250 [22:57<08:07,  1.61s/it]
Training 1/1 epoch (loss 2.5541):  76%|███████▌  | 947/1250 [22:58<08:07,  1.61s/it]
Training 1/1 epoch (loss 2.5541):  76%|███████▌  | 948/1250 [22:58<06:48,  1.35s/it]
Training 1/1 epoch (loss 2.7309):  76%|███████▌  | 948/1250 [23:00<06:48,  1.35s/it]
Training 1/1 epoch (loss 2.7309):  76%|███████▌  | 949/1250 [23:00<07:31,  1.50s/it]
Training 1/1 epoch (loss 2.5531):  76%|███████▌  | 949/1250 [23:01<07:31,  1.50s/it]
Training 1/1 epoch (loss 2.5531):  76%|███████▌  | 950/1250 [23:01<07:00,  1.40s/it]
Training 1/1 epoch (loss 2.4705):  76%|███████▌  | 950/1250 [23:02<07:00,  1.40s/it]
Training 1/1 epoch (loss 2.4705):  76%|███████▌  | 951/1250 [23:02<06:59,  1.40s/it]
Training 1/1 epoch (loss 2.7709):  76%|███████▌  | 951/1250 [23:04<06:59,  1.40s/it]
Training 1/1 epoch (loss 2.7709):  76%|███████▌  | 952/1250 [23:04<06:59,  1.41s/it]
Training 1/1 epoch (loss 2.5363):  76%|███████▌  | 952/1250 [23:05<06:59,  1.41s/it]
Training 1/1 epoch (loss 2.5363):  76%|███████▌  | 953/1250 [23:05<06:56,  1.40s/it]
Training 1/1 epoch (loss 2.6200):  76%|███████▌  | 953/1250 [23:08<06:56,  1.40s/it]
Training 1/1 epoch (loss 2.6200):  76%|███████▋  | 954/1250 [23:08<08:13,  1.67s/it]
Training 1/1 epoch (loss 2.5895):  76%|███████▋  | 954/1250 [23:10<08:13,  1.67s/it]
Training 1/1 epoch (loss 2.5895):  76%|███████▋  | 955/1250 [23:10<08:58,  1.82s/it]
Training 1/1 epoch (loss 2.6738):  76%|███████▋  | 955/1250 [23:10<08:58,  1.82s/it]
Training 1/1 epoch (loss 2.6738):  76%|███████▋  | 956/1250 [23:10<06:53,  1.41s/it]
Training 1/1 epoch (loss 2.8415):  76%|███████▋  | 956/1250 [23:12<06:53,  1.41s/it]
Training 1/1 epoch (loss 2.8415):  77%|███████▋  | 957/1250 [23:12<07:55,  1.62s/it]
Training 1/1 epoch (loss 2.6346):  77%|███████▋  | 957/1250 [23:14<07:55,  1.62s/it]
Training 1/1 epoch (loss 2.6346):  77%|███████▋  | 958/1250 [23:14<07:42,  1.58s/it]
Training 1/1 epoch (loss 2.9087):  77%|███████▋  | 958/1250 [23:14<07:42,  1.58s/it]
Training 1/1 epoch (loss 2.9087):  77%|███████▋  | 959/1250 [23:14<06:17,  1.30s/it]
Training 1/1 epoch (loss 2.4456):  77%|███████▋  | 959/1250 [23:17<06:17,  1.30s/it]
Training 1/1 epoch (loss 2.4456):  77%|███████▋  | 960/1250 [23:17<07:34,  1.57s/it]
Training 1/1 epoch (loss 2.4316):  77%|███████▋  | 960/1250 [23:18<07:34,  1.57s/it]
Training 1/1 epoch (loss 2.4316):  77%|███████▋  | 961/1250 [23:18<07:17,  1.52s/it]
Training 1/1 epoch (loss 2.4105):  77%|███████▋  | 961/1250 [23:19<07:17,  1.52s/it]
Training 1/1 epoch (loss 2.4105):  77%|███████▋  | 962/1250 [23:19<06:45,  1.41s/it]
Training 1/1 epoch (loss 2.8177):  77%|███████▋  | 962/1250 [23:21<06:45,  1.41s/it]
Training 1/1 epoch (loss 2.8177):  77%|███████▋  | 963/1250 [23:21<08:02,  1.68s/it]
Training 1/1 epoch (loss 2.7751):  77%|███████▋  | 963/1250 [23:23<08:02,  1.68s/it]
Training 1/1 epoch (loss 2.7751):  77%|███████▋  | 964/1250 [23:23<08:10,  1.71s/it]
Training 1/1 epoch (loss 2.4118):  77%|███████▋  | 964/1250 [23:24<08:10,  1.71s/it]
Training 1/1 epoch (loss 2.4118):  77%|███████▋  | 965/1250 [23:24<06:55,  1.46s/it]
Training 1/1 epoch (loss 2.6406):  77%|███████▋  | 965/1250 [23:26<06:55,  1.46s/it]
Training 1/1 epoch (loss 2.6406):  77%|███████▋  | 966/1250 [23:26<07:46,  1.64s/it]
Training 1/1 epoch (loss 2.6151):  77%|███████▋  | 966/1250 [23:27<07:46,  1.64s/it]
Training 1/1 epoch (loss 2.6151):  77%|███████▋  | 967/1250 [23:27<06:49,  1.45s/it]
Training 1/1 epoch (loss 2.6655):  77%|███████▋  | 967/1250 [23:28<06:49,  1.45s/it]
Training 1/1 epoch (loss 2.6655):  77%|███████▋  | 968/1250 [23:28<06:26,  1.37s/it]
Training 1/1 epoch (loss 2.9446):  77%|███████▋  | 968/1250 [23:30<06:26,  1.37s/it]
Training 1/1 epoch (loss 2.9446):  78%|███████▊  | 969/1250 [23:30<07:18,  1.56s/it]
Training 1/1 epoch (loss 2.5759):  78%|███████▊  | 969/1250 [23:31<07:18,  1.56s/it]
Training 1/1 epoch (loss 2.5759):  78%|███████▊  | 970/1250 [23:31<06:03,  1.30s/it]
Training 1/1 epoch (loss 2.9871):  78%|███████▊  | 970/1250 [23:33<06:03,  1.30s/it]
Training 1/1 epoch (loss 2.9871):  78%|███████▊  | 971/1250 [23:33<06:31,  1.40s/it]
Training 1/1 epoch (loss 2.6434):  78%|███████▊  | 971/1250 [23:35<06:31,  1.40s/it]
Training 1/1 epoch (loss 2.6434):  78%|███████▊  | 972/1250 [23:35<07:09,  1.54s/it]
Training 1/1 epoch (loss 2.6663):  78%|███████▊  | 972/1250 [23:35<07:09,  1.54s/it]
Training 1/1 epoch (loss 2.6663):  78%|███████▊  | 973/1250 [23:35<06:07,  1.33s/it]
Training 1/1 epoch (loss 2.5222):  78%|███████▊  | 973/1250 [23:37<06:07,  1.33s/it]
Training 1/1 epoch (loss 2.5222):  78%|███████▊  | 974/1250 [23:37<06:52,  1.50s/it]
Training 1/1 epoch (loss 2.6620):  78%|███████▊  | 974/1250 [23:38<06:52,  1.50s/it]
Training 1/1 epoch (loss 2.6620):  78%|███████▊  | 975/1250 [23:38<06:22,  1.39s/it]
Training 1/1 epoch (loss 2.5488):  78%|███████▊  | 975/1250 [23:39<06:22,  1.39s/it]
Training 1/1 epoch (loss 2.5488):  78%|███████▊  | 976/1250 [23:39<05:33,  1.22s/it]
Training 1/1 epoch (loss 2.7312):  78%|███████▊  | 976/1250 [23:41<05:33,  1.22s/it]
Training 1/1 epoch (loss 2.7312):  78%|███████▊  | 977/1250 [23:41<05:57,  1.31s/it]
Training 1/1 epoch (loss 2.7678):  78%|███████▊  | 977/1250 [23:42<05:57,  1.31s/it]
Training 1/1 epoch (loss 2.7678):  78%|███████▊  | 978/1250 [23:42<05:32,  1.22s/it]
Training 1/1 epoch (loss 2.9379):  78%|███████▊  | 978/1250 [23:43<05:32,  1.22s/it]
Training 1/1 epoch (loss 2.9379):  78%|███████▊  | 979/1250 [23:43<05:45,  1.27s/it]
Training 1/1 epoch (loss 2.7322):  78%|███████▊  | 979/1250 [23:45<05:45,  1.27s/it]
Training 1/1 epoch (loss 2.7322):  78%|███████▊  | 980/1250 [23:45<06:24,  1.42s/it]
Training 1/1 epoch (loss 2.6855):  78%|███████▊  | 980/1250 [23:46<06:24,  1.42s/it]
Training 1/1 epoch (loss 2.6855):  78%|███████▊  | 981/1250 [23:46<05:17,  1.18s/it]
Training 1/1 epoch (loss 2.7068):  78%|███████▊  | 981/1250 [23:47<05:17,  1.18s/it]
Training 1/1 epoch (loss 2.7068):  79%|███████▊  | 982/1250 [23:47<06:08,  1.37s/it]
Training 1/1 epoch (loss 2.7421):  79%|███████▊  | 982/1250 [23:49<06:08,  1.37s/it]
Training 1/1 epoch (loss 2.7421):  79%|███████▊  | 983/1250 [23:49<06:48,  1.53s/it]
Training 1/1 epoch (loss 2.7475):  79%|███████▊  | 983/1250 [23:50<06:48,  1.53s/it]
Training 1/1 epoch (loss 2.7475):  79%|███████▊  | 984/1250 [23:50<05:23,  1.22s/it]
Training 1/1 epoch (loss 2.8004):  79%|███████▊  | 984/1250 [23:51<05:23,  1.22s/it]
Training 1/1 epoch (loss 2.8004):  79%|███████▉  | 985/1250 [23:51<05:40,  1.29s/it]
Training 1/1 epoch (loss 2.5415):  79%|███████▉  | 985/1250 [23:52<05:40,  1.29s/it]
Training 1/1 epoch (loss 2.5415):  79%|███████▉  | 986/1250 [23:52<05:27,  1.24s/it]
Training 1/1 epoch (loss 2.7016):  79%|███████▉  | 986/1250 [23:53<05:27,  1.24s/it]
Training 1/1 epoch (loss 2.7016):  79%|███████▉  | 987/1250 [23:53<05:10,  1.18s/it]
Training 1/1 epoch (loss 2.6342):  79%|███████▉  | 987/1250 [23:55<05:10,  1.18s/it]
Training 1/1 epoch (loss 2.6342):  79%|███████▉  | 988/1250 [23:55<05:59,  1.37s/it]
Training 1/1 epoch (loss 2.8827):  79%|███████▉  | 988/1250 [23:56<05:59,  1.37s/it]
Training 1/1 epoch (loss 2.8827):  79%|███████▉  | 989/1250 [23:56<05:24,  1.24s/it]
Training 1/1 epoch (loss 2.5466):  79%|███████▉  | 989/1250 [23:57<05:24,  1.24s/it]
Training 1/1 epoch (loss 2.5466):  79%|███████▉  | 990/1250 [23:57<04:49,  1.11s/it]
Training 1/1 epoch (loss 2.5959):  79%|███████▉  | 990/1250 [23:59<04:49,  1.11s/it]
Training 1/1 epoch (loss 2.5959):  79%|███████▉  | 991/1250 [23:59<06:36,  1.53s/it]
Training 1/1 epoch (loss 2.3451):  79%|███████▉  | 991/1250 [24:01<06:36,  1.53s/it]
Training 1/1 epoch (loss 2.3451):  79%|███████▉  | 992/1250 [24:01<06:01,  1.40s/it]
Training 1/1 epoch (loss 2.6118):  79%|███████▉  | 992/1250 [24:02<06:01,  1.40s/it]
Training 1/1 epoch (loss 2.6118):  79%|███████▉  | 993/1250 [24:02<06:33,  1.53s/it]
Training 1/1 epoch (loss 2.5164):  79%|███████▉  | 993/1250 [24:04<06:33,  1.53s/it]
Training 1/1 epoch (loss 2.5164):  80%|███████▉  | 994/1250 [24:04<06:34,  1.54s/it]
Training 1/1 epoch (loss 2.4160):  80%|███████▉  | 994/1250 [24:05<06:34,  1.54s/it]
Training 1/1 epoch (loss 2.4160):  80%|███████▉  | 995/1250 [24:05<05:22,  1.27s/it]
Training 1/1 epoch (loss 2.6015):  80%|███████▉  | 995/1250 [24:07<05:22,  1.27s/it]
Training 1/1 epoch (loss 2.6015):  80%|███████▉  | 996/1250 [24:07<06:37,  1.57s/it]
Training 1/1 epoch (loss 2.7502):  80%|███████▉  | 996/1250 [24:09<06:37,  1.57s/it]
Training 1/1 epoch (loss 2.7502):  80%|███████▉  | 997/1250 [24:09<06:53,  1.63s/it]
Training 1/1 epoch (loss 2.6610):  80%|███████▉  | 997/1250 [24:09<06:53,  1.63s/it]
Training 1/1 epoch (loss 2.6610):  80%|███████▉  | 998/1250 [24:09<05:35,  1.33s/it]
Training 1/1 epoch (loss 2.6480):  80%|███████▉  | 998/1250 [24:11<05:35,  1.33s/it]
Training 1/1 epoch (loss 2.6480):  80%|███████▉  | 999/1250 [24:11<05:37,  1.34s/it]
Training 1/1 epoch (loss 2.6515):  80%|███████▉  | 999/1250 [24:13<05:37,  1.34s/it]
Training 1/1 epoch (loss 2.6515):  80%|████████  | 1000/1250 [24:13<07:07,  1.71s/it]
Training 1/1 epoch (loss 2.7356):  80%|████████  | 1000/1250 [24:14<07:07,  1.71s/it]
Training 1/1 epoch (loss 2.7356):  80%|████████  | 1001/1250 [24:14<05:49,  1.41s/it]
Training 1/1 epoch (loss 2.4858):  80%|████████  | 1001/1250 [24:16<05:49,  1.41s/it]
Training 1/1 epoch (loss 2.4858):  80%|████████  | 1002/1250 [24:16<06:09,  1.49s/it]
Training 1/1 epoch (loss 2.5631):  80%|████████  | 1002/1250 [24:17<06:09,  1.49s/it]
Training 1/1 epoch (loss 2.5631):  80%|████████  | 1003/1250 [24:17<06:21,  1.54s/it]
Training 1/1 epoch (loss 2.5232):  80%|████████  | 1003/1250 [24:18<06:21,  1.54s/it]
Training 1/1 epoch (loss 2.5232):  80%|████████  | 1004/1250 [24:18<05:54,  1.44s/it]
Training 1/1 epoch (loss 2.7478):  80%|████████  | 1004/1250 [24:20<05:54,  1.44s/it]
Training 1/1 epoch (loss 2.7478):  80%|████████  | 1005/1250 [24:20<06:11,  1.52s/it]
Training 1/1 epoch (loss 2.6779):  80%|████████  | 1005/1250 [24:21<06:11,  1.52s/it]
Training 1/1 epoch (loss 2.6779):  80%|████████  | 1006/1250 [24:21<05:51,  1.44s/it]
Training 1/1 epoch (loss 2.7407):  80%|████████  | 1006/1250 [24:23<05:51,  1.44s/it]
Training 1/1 epoch (loss 2.7407):  81%|████████  | 1007/1250 [24:23<06:17,  1.55s/it]
Training 1/1 epoch (loss 2.7041):  81%|████████  | 1007/1250 [24:26<06:17,  1.55s/it]
Training 1/1 epoch (loss 2.7041):  81%|████████  | 1008/1250 [24:26<07:21,  1.83s/it]
Training 1/1 epoch (loss 2.7995):  81%|████████  | 1008/1250 [24:27<07:21,  1.83s/it]
Training 1/1 epoch (loss 2.7995):  81%|████████  | 1009/1250 [24:27<06:15,  1.56s/it]
Training 1/1 epoch (loss 2.7193):  81%|████████  | 1009/1250 [24:28<06:15,  1.56s/it]
Training 1/1 epoch (loss 2.7193):  81%|████████  | 1010/1250 [24:28<06:28,  1.62s/it]
Training 1/1 epoch (loss 2.8081):  81%|████████  | 1010/1250 [24:31<06:28,  1.62s/it]
Training 1/1 epoch (loss 2.8081):  81%|████████  | 1011/1250 [24:31<07:32,  1.89s/it]
Training 1/1 epoch (loss 2.6990):  81%|████████  | 1011/1250 [24:31<07:32,  1.89s/it]
Training 1/1 epoch (loss 2.6990):  81%|████████  | 1012/1250 [24:31<05:47,  1.46s/it]
Training 1/1 epoch (loss 2.5106):  81%|████████  | 1012/1250 [24:33<05:47,  1.46s/it]
Training 1/1 epoch (loss 2.5106):  81%|████████  | 1013/1250 [24:33<05:42,  1.44s/it]
Training 1/1 epoch (loss 2.4768):  81%|████████  | 1013/1250 [24:35<05:42,  1.44s/it]
Training 1/1 epoch (loss 2.4768):  81%|████████  | 1014/1250 [24:35<06:48,  1.73s/it]
Training 1/1 epoch (loss 2.5940):  81%|████████  | 1014/1250 [24:36<06:48,  1.73s/it]
Training 1/1 epoch (loss 2.5940):  81%|████████  | 1015/1250 [24:36<05:30,  1.41s/it]
Training 1/1 epoch (loss 2.6798):  81%|████████  | 1015/1250 [24:38<05:30,  1.41s/it]
Training 1/1 epoch (loss 2.6798):  81%|████████▏ | 1016/1250 [24:38<05:59,  1.54s/it]
Training 1/1 epoch (loss 2.6696):  81%|████████▏ | 1016/1250 [24:39<05:59,  1.54s/it]
Training 1/1 epoch (loss 2.6696):  81%|████████▏ | 1017/1250 [24:39<05:52,  1.51s/it]
Training 1/1 epoch (loss 2.7546):  81%|████████▏ | 1017/1250 [24:42<05:52,  1.51s/it]
Training 1/1 epoch (loss 2.7546):  81%|████████▏ | 1018/1250 [24:42<06:54,  1.79s/it]
Training 1/1 epoch (loss 2.6964):  81%|████████▏ | 1018/1250 [24:43<06:54,  1.79s/it]
Training 1/1 epoch (loss 2.6964):  82%|████████▏ | 1019/1250 [24:43<06:59,  1.82s/it]
Training 1/1 epoch (loss 2.8658):  82%|████████▏ | 1019/1250 [24:44<06:59,  1.82s/it]
Training 1/1 epoch (loss 2.8658):  82%|████████▏ | 1020/1250 [24:44<05:23,  1.41s/it]
Training 1/1 epoch (loss 2.6041):  82%|████████▏ | 1020/1250 [24:46<05:23,  1.41s/it]
Training 1/1 epoch (loss 2.6041):  82%|████████▏ | 1021/1250 [24:46<05:35,  1.46s/it]
Training 1/1 epoch (loss 2.8706):  82%|████████▏ | 1021/1250 [24:47<05:35,  1.46s/it]
Training 1/1 epoch (loss 2.8706):  82%|████████▏ | 1022/1250 [24:47<05:21,  1.41s/it]
Training 1/1 epoch (loss 2.5774):  82%|████████▏ | 1022/1250 [24:47<05:21,  1.41s/it]
Training 1/1 epoch (loss 2.5774):  82%|████████▏ | 1023/1250 [24:47<04:20,  1.15s/it]
Training 1/1 epoch (loss 2.6447):  82%|████████▏ | 1023/1250 [24:49<04:20,  1.15s/it]
Training 1/1 epoch (loss 2.6447):  82%|████████▏ | 1024/1250 [24:49<04:24,  1.17s/it]
Training 1/1 epoch (loss 2.5478):  82%|████████▏ | 1024/1250 [24:51<04:24,  1.17s/it]
Training 1/1 epoch (loss 2.5478):  82%|████████▏ | 1025/1250 [24:51<05:28,  1.46s/it]
Training 1/1 epoch (loss 2.6995):  82%|████████▏ | 1025/1250 [24:51<05:28,  1.46s/it]
Training 1/1 epoch (loss 2.6995):  82%|████████▏ | 1026/1250 [24:51<04:22,  1.17s/it]
Training 1/1 epoch (loss 2.5772):  82%|████████▏ | 1026/1250 [24:53<04:22,  1.17s/it]
Training 1/1 epoch (loss 2.5772):  82%|████████▏ | 1027/1250 [24:53<05:04,  1.36s/it]
Training 1/1 epoch (loss 2.5734):  82%|████████▏ | 1027/1250 [24:54<05:04,  1.36s/it]
Training 1/1 epoch (loss 2.5734):  82%|████████▏ | 1028/1250 [24:54<04:50,  1.31s/it]
Training 1/1 epoch (loss 2.6741):  82%|████████▏ | 1028/1250 [24:56<04:50,  1.31s/it]
Training 1/1 epoch (loss 2.6741):  82%|████████▏ | 1029/1250 [24:56<04:52,  1.32s/it]
Training 1/1 epoch (loss 2.7708):  82%|████████▏ | 1029/1250 [24:57<04:52,  1.32s/it]
Training 1/1 epoch (loss 2.7708):  82%|████████▏ | 1030/1250 [24:57<05:10,  1.41s/it]
Training 1/1 epoch (loss 2.6838):  82%|████████▏ | 1030/1250 [24:59<05:10,  1.41s/it]
Training 1/1 epoch (loss 2.6838):  82%|████████▏ | 1031/1250 [24:59<05:14,  1.44s/it]
Training 1/1 epoch (loss 2.7128):  82%|████████▏ | 1031/1250 [25:01<05:14,  1.44s/it]
Training 1/1 epoch (loss 2.7128):  83%|████████▎ | 1032/1250 [25:01<05:41,  1.57s/it]
Training 1/1 epoch (loss 2.5628):  83%|████████▎ | 1032/1250 [25:02<05:41,  1.57s/it]
Training 1/1 epoch (loss 2.5628):  83%|████████▎ | 1033/1250 [25:02<05:36,  1.55s/it]
Training 1/1 epoch (loss 2.5156):  83%|████████▎ | 1033/1250 [25:03<05:36,  1.55s/it]
Training 1/1 epoch (loss 2.5156):  83%|████████▎ | 1034/1250 [25:03<04:36,  1.28s/it]
Training 1/1 epoch (loss 2.4728):  83%|████████▎ | 1034/1250 [25:05<04:36,  1.28s/it]
Training 1/1 epoch (loss 2.4728):  83%|████████▎ | 1035/1250 [25:05<05:10,  1.44s/it]
Training 1/1 epoch (loss 2.5655):  83%|████████▎ | 1035/1250 [25:07<05:10,  1.44s/it]
Training 1/1 epoch (loss 2.5655):  83%|████████▎ | 1036/1250 [25:07<05:57,  1.67s/it]
Training 1/1 epoch (loss 2.7530):  83%|████████▎ | 1036/1250 [25:07<05:57,  1.67s/it]
Training 1/1 epoch (loss 2.7530):  83%|████████▎ | 1037/1250 [25:07<04:40,  1.32s/it]
Training 1/1 epoch (loss 2.5229):  83%|████████▎ | 1037/1250 [25:09<04:40,  1.32s/it]
Training 1/1 epoch (loss 2.5229):  83%|████████▎ | 1038/1250 [25:09<04:46,  1.35s/it]
Training 1/1 epoch (loss 2.4233):  83%|████████▎ | 1038/1250 [25:10<04:46,  1.35s/it]
Training 1/1 epoch (loss 2.4233):  83%|████████▎ | 1039/1250 [25:10<04:53,  1.39s/it]
Training 1/1 epoch (loss 2.5469):  83%|████████▎ | 1039/1250 [25:11<04:53,  1.39s/it]
Training 1/1 epoch (loss 2.5469):  83%|████████▎ | 1040/1250 [25:11<04:18,  1.23s/it]
Training 1/1 epoch (loss 2.3931):  83%|████████▎ | 1040/1250 [25:12<04:18,  1.23s/it]
Training 1/1 epoch (loss 2.3931):  83%|████████▎ | 1041/1250 [25:12<04:06,  1.18s/it]
Training 1/1 epoch (loss 2.8230):  83%|████████▎ | 1041/1250 [25:13<04:06,  1.18s/it]
Training 1/1 epoch (loss 2.8230):  83%|████████▎ | 1042/1250 [25:13<03:48,  1.10s/it]
Training 1/1 epoch (loss 2.6817):  83%|████████▎ | 1042/1250 [25:15<03:48,  1.10s/it]
Training 1/1 epoch (loss 2.6817):  83%|████████▎ | 1043/1250 [25:15<04:28,  1.30s/it]
Training 1/1 epoch (loss 2.6795):  83%|████████▎ | 1043/1250 [25:17<04:28,  1.30s/it]
Training 1/1 epoch (loss 2.6795):  84%|████████▎ | 1044/1250 [25:17<05:24,  1.57s/it]
Training 1/1 epoch (loss 2.7682):  84%|████████▎ | 1044/1250 [25:18<05:24,  1.57s/it]
Training 1/1 epoch (loss 2.7682):  84%|████████▎ | 1045/1250 [25:18<04:58,  1.45s/it]
Training 1/1 epoch (loss 2.7179):  84%|████████▎ | 1045/1250 [25:19<04:58,  1.45s/it]
Training 1/1 epoch (loss 2.7179):  84%|████████▎ | 1046/1250 [25:19<04:51,  1.43s/it]
Training 1/1 epoch (loss 2.7061):  84%|████████▎ | 1046/1250 [25:21<04:51,  1.43s/it]
Training 1/1 epoch (loss 2.7061):  84%|████████▍ | 1047/1250 [25:21<04:48,  1.42s/it]
Training 1/1 epoch (loss 2.7012):  84%|████████▍ | 1047/1250 [25:22<04:48,  1.42s/it]
Training 1/1 epoch (loss 2.7012):  84%|████████▍ | 1048/1250 [25:22<04:05,  1.22s/it]
Training 1/1 epoch (loss 2.5651):  84%|████████▍ | 1048/1250 [25:24<04:05,  1.22s/it]
Training 1/1 epoch (loss 2.5651):  84%|████████▍ | 1049/1250 [25:24<05:18,  1.58s/it]
Training 1/1 epoch (loss 2.8253):  84%|████████▍ | 1049/1250 [25:25<05:18,  1.58s/it]
Training 1/1 epoch (loss 2.8253):  84%|████████▍ | 1050/1250 [25:25<04:40,  1.40s/it]
Training 1/1 epoch (loss 2.6614):  84%|████████▍ | 1050/1250 [25:26<04:40,  1.40s/it]
Training 1/1 epoch (loss 2.6614):  84%|████████▍ | 1051/1250 [25:26<04:31,  1.36s/it]
Training 1/1 epoch (loss 2.6541):  84%|████████▍ | 1051/1250 [25:28<04:31,  1.36s/it]
Training 1/1 epoch (loss 2.6541):  84%|████████▍ | 1052/1250 [25:28<04:33,  1.38s/it]
Training 1/1 epoch (loss 2.5489):  84%|████████▍ | 1052/1250 [25:29<04:33,  1.38s/it]
Training 1/1 epoch (loss 2.5489):  84%|████████▍ | 1053/1250 [25:29<04:16,  1.30s/it]
Training 1/1 epoch (loss 2.5425):  84%|████████▍ | 1053/1250 [25:31<04:16,  1.30s/it]
Training 1/1 epoch (loss 2.5425):  84%|████████▍ | 1054/1250 [25:31<04:50,  1.48s/it]
Training 1/1 epoch (loss 2.4793):  84%|████████▍ | 1054/1250 [25:33<04:50,  1.48s/it]
Training 1/1 epoch (loss 2.4793):  84%|████████▍ | 1055/1250 [25:33<05:25,  1.67s/it]
Training 1/1 epoch (loss 2.5937):  84%|████████▍ | 1055/1250 [25:34<05:25,  1.67s/it]
Training 1/1 epoch (loss 2.5937):  84%|████████▍ | 1056/1250 [25:34<04:27,  1.38s/it]
Training 1/1 epoch (loss 2.7447):  84%|████████▍ | 1056/1250 [25:36<04:27,  1.38s/it]
Training 1/1 epoch (loss 2.7447):  85%|████████▍ | 1057/1250 [25:36<05:07,  1.59s/it]
Training 1/1 epoch (loss 2.6959):  85%|████████▍ | 1057/1250 [25:37<05:07,  1.59s/it]
Training 1/1 epoch (loss 2.6959):  85%|████████▍ | 1058/1250 [25:37<05:14,  1.64s/it]
Training 1/1 epoch (loss 2.6989):  85%|████████▍ | 1058/1250 [25:39<05:14,  1.64s/it]
Training 1/1 epoch (loss 2.6989):  85%|████████▍ | 1059/1250 [25:39<05:03,  1.59s/it]
Training 1/1 epoch (loss 2.7725):  85%|████████▍ | 1059/1250 [25:41<05:03,  1.59s/it]
Training 1/1 epoch (loss 2.7725):  85%|████████▍ | 1060/1250 [25:41<05:44,  1.81s/it]
Training 1/1 epoch (loss 2.5080):  85%|████████▍ | 1060/1250 [25:42<05:44,  1.81s/it]
Training 1/1 epoch (loss 2.5080):  85%|████████▍ | 1061/1250 [25:42<05:04,  1.61s/it]
Training 1/1 epoch (loss 2.8726):  85%|████████▍ | 1061/1250 [25:44<05:04,  1.61s/it]
Training 1/1 epoch (loss 2.8726):  85%|████████▍ | 1062/1250 [25:44<05:26,  1.74s/it]
Training 1/1 epoch (loss 2.7843):  85%|████████▍ | 1062/1250 [25:46<05:26,  1.74s/it]
Training 1/1 epoch (loss 2.7843):  85%|████████▌ | 1063/1250 [25:46<05:30,  1.77s/it]
Training 1/1 epoch (loss 2.7130):  85%|████████▌ | 1063/1250 [25:47<05:30,  1.77s/it]
Training 1/1 epoch (loss 2.7130):  85%|████████▌ | 1064/1250 [25:47<04:33,  1.47s/it]
Training 1/1 epoch (loss 2.6148):  85%|████████▌ | 1064/1250 [25:48<04:33,  1.47s/it]
Training 1/1 epoch (loss 2.6148):  85%|████████▌ | 1065/1250 [25:48<04:25,  1.44s/it]
Training 1/1 epoch (loss 2.8298):  85%|████████▌ | 1065/1250 [25:50<04:25,  1.44s/it]
Training 1/1 epoch (loss 2.8298):  85%|████████▌ | 1066/1250 [25:50<04:41,  1.53s/it]
Training 1/1 epoch (loss 2.6109):  85%|████████▌ | 1066/1250 [25:51<04:41,  1.53s/it]
Training 1/1 epoch (loss 2.6109):  85%|████████▌ | 1067/1250 [25:51<04:05,  1.34s/it]
Training 1/1 epoch (loss 2.5924):  85%|████████▌ | 1067/1250 [25:52<04:05,  1.34s/it]
Training 1/1 epoch (loss 2.5924):  85%|████████▌ | 1068/1250 [25:52<04:12,  1.39s/it]
Training 1/1 epoch (loss 2.5707):  85%|████████▌ | 1068/1250 [25:54<04:12,  1.39s/it]
Training 1/1 epoch (loss 2.5707):  86%|████████▌ | 1069/1250 [25:54<04:19,  1.43s/it]
Training 1/1 epoch (loss 2.6304):  86%|████████▌ | 1069/1250 [25:55<04:19,  1.43s/it]
Training 1/1 epoch (loss 2.6304):  86%|████████▌ | 1070/1250 [25:55<03:47,  1.26s/it]
Training 1/1 epoch (loss 2.7430):  86%|████████▌ | 1070/1250 [25:57<03:47,  1.26s/it]
Training 1/1 epoch (loss 2.7430):  86%|████████▌ | 1071/1250 [25:57<04:37,  1.55s/it]
Training 1/1 epoch (loss 2.6921):  86%|████████▌ | 1071/1250 [25:58<04:37,  1.55s/it]
Training 1/1 epoch (loss 2.6921):  86%|████████▌ | 1072/1250 [25:58<04:22,  1.47s/it]
Training 1/1 epoch (loss 2.6504):  86%|████████▌ | 1072/1250 [26:01<04:22,  1.47s/it]
Training 1/1 epoch (loss 2.6504):  86%|████████▌ | 1073/1250 [26:01<04:53,  1.66s/it]
Training 1/1 epoch (loss 2.7132):  86%|████████▌ | 1073/1250 [26:03<04:53,  1.66s/it]
Training 1/1 epoch (loss 2.7132):  86%|████████▌ | 1074/1250 [26:03<05:13,  1.78s/it]
Training 1/1 epoch (loss 2.7130):  86%|████████▌ | 1074/1250 [26:03<05:13,  1.78s/it]
Training 1/1 epoch (loss 2.7130):  86%|████████▌ | 1075/1250 [26:03<04:11,  1.44s/it]
Training 1/1 epoch (loss 2.7215):  86%|████████▌ | 1075/1250 [26:05<04:11,  1.44s/it]
Training 1/1 epoch (loss 2.7215):  86%|████████▌ | 1076/1250 [26:05<04:02,  1.40s/it]
Training 1/1 epoch (loss 2.6724):  86%|████████▌ | 1076/1250 [26:06<04:02,  1.40s/it]
Training 1/1 epoch (loss 2.6724):  86%|████████▌ | 1077/1250 [26:06<04:17,  1.49s/it]
Training 1/1 epoch (loss 2.6625):  86%|████████▌ | 1077/1250 [26:07<04:17,  1.49s/it]
Training 1/1 epoch (loss 2.6625):  86%|████████▌ | 1078/1250 [26:07<03:44,  1.30s/it]
Training 1/1 epoch (loss 2.6775):  86%|████████▌ | 1078/1250 [26:08<03:44,  1.30s/it]
Training 1/1 epoch (loss 2.6775):  86%|████████▋ | 1079/1250 [26:08<03:43,  1.31s/it]
Training 1/1 epoch (loss 2.8457):  86%|████████▋ | 1079/1250 [26:09<03:43,  1.31s/it]
Training 1/1 epoch (loss 2.8457):  86%|████████▋ | 1080/1250 [26:09<03:19,  1.17s/it]
Training 1/1 epoch (loss 2.7796):  86%|████████▋ | 1080/1250 [26:11<03:19,  1.17s/it]
Training 1/1 epoch (loss 2.7796):  86%|████████▋ | 1081/1250 [26:11<03:37,  1.29s/it]
Training 1/1 epoch (loss 2.4062):  86%|████████▋ | 1081/1250 [26:13<03:37,  1.29s/it]
Training 1/1 epoch (loss 2.4062):  87%|████████▋ | 1082/1250 [26:13<04:33,  1.63s/it]
Training 1/1 epoch (loss 2.7158):  87%|████████▋ | 1082/1250 [26:14<04:33,  1.63s/it]
Training 1/1 epoch (loss 2.7158):  87%|████████▋ | 1083/1250 [26:14<03:35,  1.29s/it]
Training 1/1 epoch (loss 2.8221):  87%|████████▋ | 1083/1250 [26:15<03:35,  1.29s/it]
Training 1/1 epoch (loss 2.8221):  87%|████████▋ | 1084/1250 [26:15<03:44,  1.35s/it]
Training 1/1 epoch (loss 2.5497):  87%|████████▋ | 1084/1250 [26:18<03:44,  1.35s/it]
Training 1/1 epoch (loss 2.5497):  87%|████████▋ | 1085/1250 [26:18<04:35,  1.67s/it]
Training 1/1 epoch (loss 2.6318):  87%|████████▋ | 1085/1250 [26:18<04:35,  1.67s/it]
Training 1/1 epoch (loss 2.6318):  87%|████████▋ | 1086/1250 [26:18<03:52,  1.42s/it]
Training 1/1 epoch (loss 2.7906):  87%|████████▋ | 1086/1250 [26:20<03:52,  1.42s/it]
Training 1/1 epoch (loss 2.7906):  87%|████████▋ | 1087/1250 [26:20<03:39,  1.35s/it]
Training 1/1 epoch (loss 2.7508):  87%|████████▋ | 1087/1250 [26:21<03:39,  1.35s/it]
Training 1/1 epoch (loss 2.7508):  87%|████████▋ | 1088/1250 [26:21<03:55,  1.45s/it]
Training 1/1 epoch (loss 2.5576):  87%|████████▋ | 1088/1250 [26:22<03:55,  1.45s/it]
Training 1/1 epoch (loss 2.5576):  87%|████████▋ | 1089/1250 [26:22<03:21,  1.25s/it]
Training 1/1 epoch (loss 2.6864):  87%|████████▋ | 1089/1250 [26:24<03:21,  1.25s/it]
Training 1/1 epoch (loss 2.6864):  87%|████████▋ | 1090/1250 [26:24<04:02,  1.51s/it]
Training 1/1 epoch (loss 2.7392):  87%|████████▋ | 1090/1250 [26:25<04:02,  1.51s/it]
Training 1/1 epoch (loss 2.7392):  87%|████████▋ | 1091/1250 [26:25<03:30,  1.33s/it]
Training 1/1 epoch (loss 2.5244):  87%|████████▋ | 1091/1250 [26:27<03:30,  1.33s/it]
Training 1/1 epoch (loss 2.5244):  87%|████████▋ | 1092/1250 [26:27<03:51,  1.47s/it]
Training 1/1 epoch (loss 2.5833):  87%|████████▋ | 1092/1250 [26:29<03:51,  1.47s/it]
Training 1/1 epoch (loss 2.5833):  87%|████████▋ | 1093/1250 [26:29<04:17,  1.64s/it]
Training 1/1 epoch (loss 2.5912):  87%|████████▋ | 1093/1250 [26:30<04:17,  1.64s/it]
Training 1/1 epoch (loss 2.5912):  88%|████████▊ | 1094/1250 [26:30<03:45,  1.44s/it]
Training 1/1 epoch (loss 2.7292):  88%|████████▊ | 1094/1250 [26:31<03:45,  1.44s/it]
Training 1/1 epoch (loss 2.7292):  88%|████████▊ | 1095/1250 [26:31<03:26,  1.33s/it]
Training 1/1 epoch (loss 2.5461):  88%|████████▊ | 1095/1250 [26:33<03:26,  1.33s/it]
Training 1/1 epoch (loss 2.5461):  88%|████████▊ | 1096/1250 [26:33<03:43,  1.45s/it]
Training 1/1 epoch (loss 2.8497):  88%|████████▊ | 1096/1250 [26:33<03:43,  1.45s/it]
Training 1/1 epoch (loss 2.8497):  88%|████████▊ | 1097/1250 [26:33<03:06,  1.22s/it]
Training 1/1 epoch (loss 2.7775):  88%|████████▊ | 1097/1250 [26:36<03:06,  1.22s/it]
Training 1/1 epoch (loss 2.7775):  88%|████████▊ | 1098/1250 [26:36<03:43,  1.47s/it]
Training 1/1 epoch (loss 2.7747):  88%|████████▊ | 1098/1250 [26:37<03:43,  1.47s/it]
Training 1/1 epoch (loss 2.7747):  88%|████████▊ | 1099/1250 [26:37<03:42,  1.47s/it]
Training 1/1 epoch (loss 2.7281):  88%|████████▊ | 1099/1250 [26:38<03:42,  1.47s/it]
Training 1/1 epoch (loss 2.7281):  88%|████████▊ | 1100/1250 [26:38<03:03,  1.22s/it]
Training 1/1 epoch (loss 2.5379):  88%|████████▊ | 1100/1250 [26:40<03:03,  1.22s/it]
Training 1/1 epoch (loss 2.5379):  88%|████████▊ | 1101/1250 [26:40<03:32,  1.43s/it]
Training 1/1 epoch (loss 2.7337):  88%|████████▊ | 1101/1250 [26:42<03:32,  1.43s/it]
Training 1/1 epoch (loss 2.7337):  88%|████████▊ | 1102/1250 [26:42<04:15,  1.73s/it]
Training 1/1 epoch (loss 2.6951):  88%|████████▊ | 1102/1250 [26:43<04:15,  1.73s/it]
Training 1/1 epoch (loss 2.6951):  88%|████████▊ | 1103/1250 [26:43<03:40,  1.50s/it]
Training 1/1 epoch (loss 2.5121):  88%|████████▊ | 1103/1250 [26:45<03:40,  1.50s/it]
Training 1/1 epoch (loss 2.5121):  88%|████████▊ | 1104/1250 [26:45<04:02,  1.66s/it]
Training 1/1 epoch (loss 2.5815):  88%|████████▊ | 1104/1250 [26:46<04:02,  1.66s/it]
Training 1/1 epoch (loss 2.5815):  88%|████████▊ | 1105/1250 [26:46<03:38,  1.51s/it]
Training 1/1 epoch (loss 2.5979):  88%|████████▊ | 1105/1250 [26:48<03:38,  1.51s/it]
Training 1/1 epoch (loss 2.5979):  88%|████████▊ | 1106/1250 [26:48<04:13,  1.76s/it]
Training 1/1 epoch (loss 2.5353):  88%|████████▊ | 1106/1250 [26:51<04:13,  1.76s/it]
Training 1/1 epoch (loss 2.5353):  89%|████████▊ | 1107/1250 [26:51<04:28,  1.87s/it]
Training 1/1 epoch (loss 2.7094):  89%|████████▊ | 1107/1250 [26:51<04:28,  1.87s/it]
Training 1/1 epoch (loss 2.7094):  89%|████████▊ | 1108/1250 [26:51<03:43,  1.57s/it]
Training 1/1 epoch (loss 2.7405):  89%|████████▊ | 1108/1250 [26:53<03:43,  1.57s/it]
Training 1/1 epoch (loss 2.7405):  89%|████████▊ | 1109/1250 [26:53<03:40,  1.56s/it]
Training 1/1 epoch (loss 2.8213):  89%|████████▊ | 1109/1250 [26:55<03:40,  1.56s/it]
Training 1/1 epoch (loss 2.8213):  89%|████████▉ | 1110/1250 [26:55<03:42,  1.59s/it]
Training 1/1 epoch (loss 2.7945):  89%|████████▉ | 1110/1250 [26:56<03:42,  1.59s/it]
Training 1/1 epoch (loss 2.7945):  89%|████████▉ | 1111/1250 [26:56<03:14,  1.40s/it]
Training 1/1 epoch (loss 2.6218):  89%|████████▉ | 1111/1250 [26:58<03:14,  1.40s/it]
Training 1/1 epoch (loss 2.6218):  89%|████████▉ | 1112/1250 [26:58<04:06,  1.79s/it]
Training 1/1 epoch (loss 2.7283):  89%|████████▉ | 1112/1250 [26:59<04:06,  1.79s/it]
Training 1/1 epoch (loss 2.7283):  89%|████████▉ | 1113/1250 [26:59<03:23,  1.49s/it]
Training 1/1 epoch (loss 2.6416):  89%|████████▉ | 1113/1250 [27:01<03:23,  1.49s/it]
Training 1/1 epoch (loss 2.6416):  89%|████████▉ | 1114/1250 [27:01<03:39,  1.62s/it]
Training 1/1 epoch (loss 2.5509):  89%|████████▉ | 1114/1250 [27:02<03:39,  1.62s/it]
Training 1/1 epoch (loss 2.5509):  89%|████████▉ | 1115/1250 [27:02<03:32,  1.58s/it]
Training 1/1 epoch (loss 2.6072):  89%|████████▉ | 1115/1250 [27:03<03:32,  1.58s/it]
Training 1/1 epoch (loss 2.6072):  89%|████████▉ | 1116/1250 [27:03<02:58,  1.33s/it]
Training 1/1 epoch (loss 2.7354):  89%|████████▉ | 1116/1250 [27:06<02:58,  1.33s/it]
Training 1/1 epoch (loss 2.7354):  89%|████████▉ | 1117/1250 [27:06<03:41,  1.66s/it]
Training 1/1 epoch (loss 2.4824):  89%|████████▉ | 1117/1250 [27:08<03:41,  1.66s/it]
Training 1/1 epoch (loss 2.4824):  89%|████████▉ | 1118/1250 [27:08<03:50,  1.75s/it]
Training 1/1 epoch (loss 2.5918):  89%|████████▉ | 1118/1250 [27:09<03:50,  1.75s/it]
Training 1/1 epoch (loss 2.5918):  90%|████████▉ | 1119/1250 [27:09<03:38,  1.67s/it]
Training 1/1 epoch (loss 2.4652):  90%|████████▉ | 1119/1250 [27:11<03:38,  1.67s/it]
Training 1/1 epoch (loss 2.4652):  90%|████████▉ | 1120/1250 [27:11<03:36,  1.67s/it]
Training 1/1 epoch (loss 2.6761):  90%|████████▉ | 1120/1250 [27:12<03:36,  1.67s/it]
Training 1/1 epoch (loss 2.6761):  90%|████████▉ | 1121/1250 [27:12<03:17,  1.53s/it]
Training 1/1 epoch (loss 2.6499):  90%|████████▉ | 1121/1250 [27:14<03:17,  1.53s/it]
Training 1/1 epoch (loss 2.6499):  90%|████████▉ | 1122/1250 [27:14<03:50,  1.80s/it]
Training 1/1 epoch (loss 2.6893):  90%|████████▉ | 1122/1250 [27:16<03:50,  1.80s/it]
Training 1/1 epoch (loss 2.6893):  90%|████████▉ | 1123/1250 [27:16<03:37,  1.71s/it]
Training 1/1 epoch (loss 2.6078):  90%|████████▉ | 1123/1250 [27:17<03:37,  1.71s/it]
Training 1/1 epoch (loss 2.6078):  90%|████████▉ | 1124/1250 [27:17<03:21,  1.60s/it]
Training 1/1 epoch (loss 2.7834):  90%|████████▉ | 1124/1250 [27:19<03:21,  1.60s/it]
Training 1/1 epoch (loss 2.7834):  90%|█████████ | 1125/1250 [27:19<03:16,  1.57s/it]
Training 1/1 epoch (loss 2.7411):  90%|█████████ | 1125/1250 [27:20<03:16,  1.57s/it]
Training 1/1 epoch (loss 2.7411):  90%|█████████ | 1126/1250 [27:20<03:04,  1.49s/it]
Training 1/1 epoch (loss 2.5772):  90%|█████████ | 1126/1250 [27:21<03:04,  1.49s/it]
Training 1/1 epoch (loss 2.5772):  90%|█████████ | 1127/1250 [27:21<02:56,  1.43s/it]
Training 1/1 epoch (loss 2.7157):  90%|█████████ | 1127/1250 [27:23<02:56,  1.43s/it]
Training 1/1 epoch (loss 2.7157):  90%|█████████ | 1128/1250 [27:23<03:14,  1.60s/it]
Training 1/1 epoch (loss 2.6344):  90%|█████████ | 1128/1250 [27:24<03:14,  1.60s/it]
Training 1/1 epoch (loss 2.6344):  90%|█████████ | 1129/1250 [27:24<02:41,  1.33s/it]
Training 1/1 epoch (loss 2.6729):  90%|█████████ | 1129/1250 [27:26<02:41,  1.33s/it]
Training 1/1 epoch (loss 2.6729):  90%|█████████ | 1130/1250 [27:26<02:45,  1.38s/it]
Training 1/1 epoch (loss 2.4997):  90%|█████████ | 1130/1250 [27:27<02:45,  1.38s/it]
Training 1/1 epoch (loss 2.4997):  90%|█████████ | 1131/1250 [27:27<02:46,  1.40s/it]
Training 1/1 epoch (loss 2.6076):  90%|█████████ | 1131/1250 [27:28<02:46,  1.40s/it]
Training 1/1 epoch (loss 2.6076):  91%|█████████ | 1132/1250 [27:28<02:26,  1.24s/it]
Training 1/1 epoch (loss 2.5657):  91%|█████████ | 1132/1250 [27:29<02:26,  1.24s/it]
Training 1/1 epoch (loss 2.5657):  91%|█████████ | 1133/1250 [27:29<02:37,  1.34s/it]
Training 1/1 epoch (loss 2.6656):  91%|█████████ | 1133/1250 [27:30<02:37,  1.34s/it]
Training 1/1 epoch (loss 2.6656):  91%|█████████ | 1134/1250 [27:30<02:22,  1.23s/it]
Training 1/1 epoch (loss 2.6797):  91%|█████████ | 1134/1250 [27:32<02:22,  1.23s/it]
Training 1/1 epoch (loss 2.6797):  91%|█████████ | 1135/1250 [27:32<02:45,  1.44s/it]
Training 1/1 epoch (loss 2.5835):  91%|█████████ | 1135/1250 [27:34<02:45,  1.44s/it]
Training 1/1 epoch (loss 2.5835):  91%|█████████ | 1136/1250 [27:34<02:58,  1.56s/it]
Training 1/1 epoch (loss 2.6732):  91%|█████████ | 1136/1250 [27:35<02:58,  1.56s/it]
Training 1/1 epoch (loss 2.6732):  91%|█████████ | 1137/1250 [27:35<02:39,  1.41s/it]
Training 1/1 epoch (loss 2.6627):  91%|█████████ | 1137/1250 [27:38<02:39,  1.41s/it]
Training 1/1 epoch (loss 2.6627):  91%|█████████ | 1138/1250 [27:38<03:13,  1.73s/it]
Training 1/1 epoch (loss 2.4516):  91%|█████████ | 1138/1250 [27:39<03:13,  1.73s/it]
Training 1/1 epoch (loss 2.4516):  91%|█████████ | 1139/1250 [27:39<03:02,  1.64s/it]
Training 1/1 epoch (loss 2.8666):  91%|█████████ | 1139/1250 [27:40<03:02,  1.64s/it]
Training 1/1 epoch (loss 2.8666):  91%|█████████ | 1140/1250 [27:40<02:40,  1.45s/it]
Training 1/1 epoch (loss 2.5266):  91%|█████████ | 1140/1250 [27:42<02:40,  1.45s/it]
Training 1/1 epoch (loss 2.5266):  91%|█████████▏| 1141/1250 [27:42<02:51,  1.58s/it]
Training 1/1 epoch (loss 2.6130):  91%|█████████▏| 1141/1250 [27:43<02:51,  1.58s/it]
Training 1/1 epoch (loss 2.6130):  91%|█████████▏| 1142/1250 [27:43<02:30,  1.39s/it]
Training 1/1 epoch (loss 2.6837):  91%|█████████▏| 1142/1250 [27:44<02:30,  1.39s/it]
Training 1/1 epoch (loss 2.6837):  91%|█████████▏| 1143/1250 [27:44<02:29,  1.40s/it]
Training 1/1 epoch (loss 2.5330):  91%|█████████▏| 1143/1250 [27:47<02:29,  1.40s/it]
Training 1/1 epoch (loss 2.5330):  92%|█████████▏| 1144/1250 [27:47<03:02,  1.72s/it]
Training 1/1 epoch (loss 2.6329):  92%|█████████▏| 1144/1250 [27:48<03:02,  1.72s/it]
Training 1/1 epoch (loss 2.6329):  92%|█████████▏| 1145/1250 [27:48<02:31,  1.45s/it]
Training 1/1 epoch (loss 2.6721):  92%|█████████▏| 1145/1250 [27:49<02:31,  1.45s/it]
Training 1/1 epoch (loss 2.6721):  92%|█████████▏| 1146/1250 [27:49<02:40,  1.54s/it]
Training 1/1 epoch (loss 2.5186):  92%|█████████▏| 1146/1250 [27:51<02:40,  1.54s/it]
Training 1/1 epoch (loss 2.5186):  92%|█████████▏| 1147/1250 [27:51<02:40,  1.56s/it]
Training 1/1 epoch (loss 2.7204):  92%|█████████▏| 1147/1250 [27:52<02:40,  1.56s/it]
Training 1/1 epoch (loss 2.7204):  92%|█████████▏| 1148/1250 [27:52<02:23,  1.41s/it]
Training 1/1 epoch (loss 2.5175):  92%|█████████▏| 1148/1250 [27:54<02:23,  1.41s/it]
Training 1/1 epoch (loss 2.5175):  92%|█████████▏| 1149/1250 [27:54<02:46,  1.65s/it]
Training 1/1 epoch (loss 2.4896):  92%|█████████▏| 1149/1250 [27:56<02:46,  1.65s/it]
Training 1/1 epoch (loss 2.4896):  92%|█████████▏| 1150/1250 [27:56<02:32,  1.53s/it]
Training 1/1 epoch (loss 2.8449):  92%|█████████▏| 1150/1250 [27:57<02:32,  1.53s/it]
Training 1/1 epoch (loss 2.8449):  92%|█████████▏| 1151/1250 [27:57<02:24,  1.46s/it]
Training 1/1 epoch (loss 2.6639):  92%|█████████▏| 1151/1250 [28:00<02:24,  1.46s/it]
Training 1/1 epoch (loss 2.6639):  92%|█████████▏| 1152/1250 [28:00<03:00,  1.84s/it]
Training 1/1 epoch (loss 2.6488):  92%|█████████▏| 1152/1250 [28:01<03:00,  1.84s/it]
Training 1/1 epoch (loss 2.6488):  92%|█████████▏| 1153/1250 [28:01<02:40,  1.66s/it]
Training 1/1 epoch (loss 2.5971):  92%|█████████▏| 1153/1250 [28:02<02:40,  1.66s/it]
Training 1/1 epoch (loss 2.5971):  92%|█████████▏| 1154/1250 [28:02<02:37,  1.64s/it]
Training 1/1 epoch (loss 2.6224):  92%|█████████▏| 1154/1250 [28:04<02:37,  1.64s/it]
Training 1/1 epoch (loss 2.6224):  92%|█████████▏| 1155/1250 [28:04<02:45,  1.75s/it]
Training 1/1 epoch (loss 2.6335):  92%|█████████▏| 1155/1250 [28:05<02:45,  1.75s/it]
Training 1/1 epoch (loss 2.6335):  92%|█████████▏| 1156/1250 [28:05<02:21,  1.51s/it]
Training 1/1 epoch (loss 2.6171):  92%|█████████▏| 1156/1250 [28:07<02:21,  1.51s/it]
Training 1/1 epoch (loss 2.6171):  93%|█████████▎| 1157/1250 [28:07<02:20,  1.51s/it]
Training 1/1 epoch (loss 2.6556):  93%|█████████▎| 1157/1250 [28:08<02:20,  1.51s/it]
Training 1/1 epoch (loss 2.6556):  93%|█████████▎| 1158/1250 [28:08<02:17,  1.50s/it]
Training 1/1 epoch (loss 2.5998):  93%|█████████▎| 1158/1250 [28:10<02:17,  1.50s/it]
Training 1/1 epoch (loss 2.5998):  93%|█████████▎| 1159/1250 [28:10<02:13,  1.47s/it]
Training 1/1 epoch (loss 2.5895):  93%|█████████▎| 1159/1250 [28:12<02:13,  1.47s/it]
Training 1/1 epoch (loss 2.5895):  93%|█████████▎| 1160/1250 [28:12<02:22,  1.58s/it]
Training 1/1 epoch (loss 2.4923):  93%|█████████▎| 1160/1250 [28:13<02:22,  1.58s/it]
Training 1/1 epoch (loss 2.4923):  93%|█████████▎| 1161/1250 [28:13<02:06,  1.43s/it]
Training 1/1 epoch (loss 2.5896):  93%|█████████▎| 1161/1250 [28:14<02:06,  1.43s/it]
Training 1/1 epoch (loss 2.5896):  93%|█████████▎| 1162/1250 [28:14<02:03,  1.41s/it]
Training 1/1 epoch (loss 2.5098):  93%|█████████▎| 1162/1250 [28:15<02:03,  1.41s/it]
Training 1/1 epoch (loss 2.5098):  93%|█████████▎| 1163/1250 [28:15<01:57,  1.35s/it]
Training 1/1 epoch (loss 2.4169):  93%|█████████▎| 1163/1250 [28:16<01:57,  1.35s/it]
Training 1/1 epoch (loss 2.4169):  93%|█████████▎| 1164/1250 [28:16<01:41,  1.18s/it]
Training 1/1 epoch (loss 2.6400):  93%|█████████▎| 1164/1250 [28:17<01:41,  1.18s/it]
Training 1/1 epoch (loss 2.6400):  93%|█████████▎| 1165/1250 [28:17<01:40,  1.18s/it]
Training 1/1 epoch (loss 2.7224):  93%|█████████▎| 1165/1250 [28:19<01:40,  1.18s/it]
Training 1/1 epoch (loss 2.7224):  93%|█████████▎| 1166/1250 [28:19<01:55,  1.37s/it]
Training 1/1 epoch (loss 2.8258):  93%|█████████▎| 1166/1250 [28:20<01:55,  1.37s/it]
Training 1/1 epoch (loss 2.8258):  93%|█████████▎| 1167/1250 [28:20<01:52,  1.35s/it]
Training 1/1 epoch (loss 2.7537):  93%|█████████▎| 1167/1250 [28:22<01:52,  1.35s/it]
Training 1/1 epoch (loss 2.7537):  93%|█████████▎| 1168/1250 [28:22<01:46,  1.30s/it]
Training 1/1 epoch (loss 2.4462):  93%|█████████▎| 1168/1250 [28:23<01:46,  1.30s/it]
Training 1/1 epoch (loss 2.4462):  94%|█████████▎| 1169/1250 [28:23<01:38,  1.22s/it]
Training 1/1 epoch (loss 2.5994):  94%|█████████▎| 1169/1250 [28:25<01:38,  1.22s/it]
Training 1/1 epoch (loss 2.5994):  94%|█████████▎| 1170/1250 [28:25<02:06,  1.58s/it]
Training 1/1 epoch (loss 2.6530):  94%|█████████▎| 1170/1250 [28:27<02:06,  1.58s/it]
Training 1/1 epoch (loss 2.6530):  94%|█████████▎| 1171/1250 [28:27<02:11,  1.66s/it]
Training 1/1 epoch (loss 2.7850):  94%|█████████▎| 1171/1250 [28:28<02:11,  1.66s/it]
Training 1/1 epoch (loss 2.7850):  94%|█████████▍| 1172/1250 [28:28<01:49,  1.40s/it]
Training 1/1 epoch (loss 2.7988):  94%|█████████▍| 1172/1250 [28:29<01:49,  1.40s/it]
Training 1/1 epoch (loss 2.7988):  94%|█████████▍| 1173/1250 [28:29<01:49,  1.42s/it]
Training 1/1 epoch (loss 2.7309):  94%|█████████▍| 1173/1250 [28:31<01:49,  1.42s/it]
Training 1/1 epoch (loss 2.7309):  94%|█████████▍| 1174/1250 [28:31<01:49,  1.44s/it]
Training 1/1 epoch (loss 2.7070):  94%|█████████▍| 1174/1250 [28:32<01:49,  1.44s/it]
Training 1/1 epoch (loss 2.7070):  94%|█████████▍| 1175/1250 [28:32<01:46,  1.42s/it]
Training 1/1 epoch (loss 2.6675):  94%|█████████▍| 1175/1250 [28:34<01:46,  1.42s/it]
Training 1/1 epoch (loss 2.6675):  94%|█████████▍| 1176/1250 [28:34<01:52,  1.51s/it]
Training 1/1 epoch (loss 2.7301):  94%|█████████▍| 1176/1250 [28:35<01:52,  1.51s/it]
Training 1/1 epoch (loss 2.7301):  94%|█████████▍| 1177/1250 [28:35<01:51,  1.53s/it]
Training 1/1 epoch (loss 2.7230):  94%|█████████▍| 1177/1250 [28:37<01:51,  1.53s/it]
Training 1/1 epoch (loss 2.7230):  94%|█████████▍| 1178/1250 [28:37<01:47,  1.49s/it]
Training 1/1 epoch (loss 2.5987):  94%|█████████▍| 1178/1250 [28:38<01:47,  1.49s/it]
Training 1/1 epoch (loss 2.5987):  94%|█████████▍| 1179/1250 [28:38<01:35,  1.35s/it]
Training 1/1 epoch (loss 2.7532):  94%|█████████▍| 1179/1250 [28:39<01:35,  1.35s/it]
Training 1/1 epoch (loss 2.7532):  94%|█████████▍| 1180/1250 [28:39<01:32,  1.32s/it]
Training 1/1 epoch (loss 2.7098):  94%|█████████▍| 1180/1250 [28:41<01:32,  1.32s/it]
Training 1/1 epoch (loss 2.7098):  94%|█████████▍| 1181/1250 [28:41<01:43,  1.50s/it]
Training 1/1 epoch (loss 2.6863):  94%|█████████▍| 1181/1250 [28:42<01:43,  1.50s/it]
Training 1/1 epoch (loss 2.6863):  95%|█████████▍| 1182/1250 [28:42<01:28,  1.31s/it]
Training 1/1 epoch (loss 2.6751):  95%|█████████▍| 1182/1250 [28:44<01:28,  1.31s/it]
Training 1/1 epoch (loss 2.6751):  95%|█████████▍| 1183/1250 [28:44<01:41,  1.52s/it]
Training 1/1 epoch (loss 2.5807):  95%|█████████▍| 1183/1250 [28:46<01:41,  1.52s/it]
Training 1/1 epoch (loss 2.5807):  95%|█████████▍| 1184/1250 [28:46<01:48,  1.64s/it]
Training 1/1 epoch (loss 2.6895):  95%|█████████▍| 1184/1250 [28:47<01:48,  1.64s/it]
Training 1/1 epoch (loss 2.6895):  95%|█████████▍| 1185/1250 [28:47<01:33,  1.44s/it]
Training 1/1 epoch (loss 2.6914):  95%|█████████▍| 1185/1250 [28:48<01:33,  1.44s/it]
Training 1/1 epoch (loss 2.6914):  95%|█████████▍| 1186/1250 [28:48<01:35,  1.48s/it]
Training 1/1 epoch (loss 2.8358):  95%|█████████▍| 1186/1250 [28:49<01:35,  1.48s/it]
Training 1/1 epoch (loss 2.8358):  95%|█████████▍| 1187/1250 [28:49<01:27,  1.38s/it]
Training 1/1 epoch (loss 2.4470):  95%|█████████▍| 1187/1250 [28:51<01:27,  1.38s/it]
Training 1/1 epoch (loss 2.4470):  95%|█████████▌| 1188/1250 [28:51<01:22,  1.33s/it]
Training 1/1 epoch (loss 2.5376):  95%|█████████▌| 1188/1250 [28:52<01:22,  1.33s/it]
Training 1/1 epoch (loss 2.5376):  95%|█████████▌| 1189/1250 [28:52<01:21,  1.33s/it]
Training 1/1 epoch (loss 2.8963):  95%|█████████▌| 1189/1250 [28:53<01:21,  1.33s/it]
Training 1/1 epoch (loss 2.8963):  95%|█████████▌| 1190/1250 [28:53<01:17,  1.30s/it]
Training 1/1 epoch (loss 2.8114):  95%|█████████▌| 1190/1250 [28:54<01:17,  1.30s/it]
Training 1/1 epoch (loss 2.8114):  95%|█████████▌| 1191/1250 [28:54<01:17,  1.31s/it]
Training 1/1 epoch (loss 2.6716):  95%|█████████▌| 1191/1250 [28:56<01:17,  1.31s/it]
Training 1/1 epoch (loss 2.6716):  95%|█████████▌| 1192/1250 [28:56<01:19,  1.38s/it]
Training 1/1 epoch (loss 2.6818):  95%|█████████▌| 1192/1250 [28:57<01:19,  1.38s/it]
Training 1/1 epoch (loss 2.6818):  95%|█████████▌| 1193/1250 [28:57<01:09,  1.22s/it]
Training 1/1 epoch (loss 2.6838):  95%|█████████▌| 1193/1250 [28:58<01:09,  1.22s/it]
Training 1/1 epoch (loss 2.6838):  96%|█████████▌| 1194/1250 [28:58<01:07,  1.20s/it]
Training 1/1 epoch (loss 2.7715):  96%|█████████▌| 1194/1250 [28:59<01:07,  1.20s/it]
Training 1/1 epoch (loss 2.7715):  96%|█████████▌| 1195/1250 [28:59<01:10,  1.29s/it]
Training 1/1 epoch (loss 2.9073):  96%|█████████▌| 1195/1250 [29:00<01:10,  1.29s/it]
Training 1/1 epoch (loss 2.9073):  96%|█████████▌| 1196/1250 [29:00<01:03,  1.18s/it]
Training 1/1 epoch (loss 2.7287):  96%|█████████▌| 1196/1250 [29:02<01:03,  1.18s/it]
Training 1/1 epoch (loss 2.7287):  96%|█████████▌| 1197/1250 [29:02<01:04,  1.22s/it]
Training 1/1 epoch (loss 2.5943):  96%|█████████▌| 1197/1250 [29:03<01:04,  1.22s/it]
Training 1/1 epoch (loss 2.5943):  96%|█████████▌| 1198/1250 [29:03<01:08,  1.32s/it]
Training 1/1 epoch (loss 2.6009):  96%|█████████▌| 1198/1250 [29:04<01:08,  1.32s/it]
Training 1/1 epoch (loss 2.6009):  96%|█████████▌| 1199/1250 [29:04<01:02,  1.22s/it]
Training 1/1 epoch (loss 2.5766):  96%|█████████▌| 1199/1250 [29:06<01:02,  1.22s/it]
Training 1/1 epoch (loss 2.5766):  96%|█████████▌| 1200/1250 [29:06<01:15,  1.51s/it]
Training 1/1 epoch (loss 2.5523):  96%|█████████▌| 1200/1250 [29:08<01:15,  1.51s/it]
Training 1/1 epoch (loss 2.5523):  96%|█████████▌| 1201/1250 [29:08<01:07,  1.38s/it]
Training 1/1 epoch (loss 2.4942):  96%|█████████▌| 1201/1250 [29:09<01:07,  1.38s/it]
Training 1/1 epoch (loss 2.4942):  96%|█████████▌| 1202/1250 [29:09<01:01,  1.28s/it]
Training 1/1 epoch (loss 2.6885):  96%|█████████▌| 1202/1250 [29:11<01:01,  1.28s/it]
Training 1/1 epoch (loss 2.6885):  96%|█████████▌| 1203/1250 [29:11<01:12,  1.54s/it]
Training 1/1 epoch (loss 2.5476):  96%|█████████▌| 1203/1250 [29:12<01:12,  1.54s/it]
Training 1/1 epoch (loss 2.5476):  96%|█████████▋| 1204/1250 [29:12<01:07,  1.47s/it]
Training 1/1 epoch (loss 2.9282):  96%|█████████▋| 1204/1250 [29:14<01:07,  1.47s/it]
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Training 1/1 epoch (loss 2.5893):  96%|█████████▋| 1205/1250 [29:15<01:08,  1.53s/it]
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Training 1/1 epoch (loss 2.6265):  96%|█████████▋| 1206/1250 [29:16<00:58,  1.34s/it]
Training 1/1 epoch (loss 2.6265):  97%|█████████▋| 1207/1250 [29:16<01:02,  1.45s/it]
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Training 1/1 epoch (loss 2.6649):  97%|█████████▋| 1208/1250 [29:19<01:06,  1.59s/it]
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Training 1/1 epoch (loss 2.7912):  97%|█████████▋| 1209/1250 [29:22<00:58,  1.42s/it]
Training 1/1 epoch (loss 2.7912):  97%|█████████▋| 1210/1250 [29:22<01:08,  1.72s/it]
Training 1/1 epoch (loss 2.6918):  97%|█████████▋| 1210/1250 [29:23<01:08,  1.72s/it]
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Training 1/1 epoch (loss 2.6323):  97%|█████████▋| 1211/1250 [29:25<01:03,  1.62s/it]
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Training 1/1 epoch (loss 2.7369):  97%|█████████▋| 1212/1250 [29:27<01:01,  1.62s/it]
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Training 1/1 epoch (loss 2.5094):  97%|█████████▋| 1213/1250 [29:28<01:09,  1.89s/it]
Training 1/1 epoch (loss 2.5094):  97%|█████████▋| 1214/1250 [29:28<00:57,  1.61s/it]
Training 1/1 epoch (loss 2.6175):  97%|█████████▋| 1214/1250 [29:30<00:57,  1.61s/it]
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Training 1/1 epoch (loss 2.9312):  97%|█████████▋| 1215/1250 [29:32<00:56,  1.62s/it]
Training 1/1 epoch (loss 2.9312):  97%|█████████▋| 1216/1250 [29:32<01:04,  1.89s/it]
Training 1/1 epoch (loss 2.5154):  97%|█████████▋| 1216/1250 [29:34<01:04,  1.89s/it]
Training 1/1 epoch (loss 2.5154):  97%|█████████▋| 1217/1250 [29:34<00:56,  1.70s/it]
Training 1/1 epoch (loss 2.5841):  97%|█████████▋| 1217/1250 [29:36<00:56,  1.70s/it]
Training 1/1 epoch (loss 2.5841):  97%|█████████▋| 1218/1250 [29:36<00:58,  1.82s/it]
Training 1/1 epoch (loss 2.7106):  97%|█████████▋| 1218/1250 [29:37<00:58,  1.82s/it]
Training 1/1 epoch (loss 2.7106):  98%|█████████▊| 1219/1250 [29:37<00:54,  1.75s/it]
Training 1/1 epoch (loss 2.5974):  98%|█████████▊| 1219/1250 [29:38<00:54,  1.75s/it]
Training 1/1 epoch (loss 2.5974):  98%|█████████▊| 1220/1250 [29:38<00:46,  1.54s/it]
Training 1/1 epoch (loss 2.5307):  98%|█████████▊| 1220/1250 [29:40<00:46,  1.54s/it]
Training 1/1 epoch (loss 2.5307):  98%|█████████▊| 1221/1250 [29:40<00:47,  1.65s/it]
Training 1/1 epoch (loss 2.4781):  98%|█████████▊| 1221/1250 [29:41<00:47,  1.65s/it]
Training 1/1 epoch (loss 2.4781):  98%|█████████▊| 1222/1250 [29:41<00:37,  1.35s/it]
Training 1/1 epoch (loss 2.5372):  98%|█████████▊| 1222/1250 [29:42<00:37,  1.35s/it]
Training 1/1 epoch (loss 2.5372):  98%|█████████▊| 1223/1250 [29:42<00:38,  1.42s/it]
Training 1/1 epoch (loss 2.7001):  98%|█████████▊| 1223/1250 [29:45<00:38,  1.42s/it]
Training 1/1 epoch (loss 2.7001):  98%|█████████▊| 1224/1250 [29:45<00:43,  1.67s/it]
Training 1/1 epoch (loss 2.6748):  98%|█████████▊| 1224/1250 [29:46<00:43,  1.67s/it]
Training 1/1 epoch (loss 2.6748):  98%|█████████▊| 1225/1250 [29:46<00:36,  1.46s/it]
Training 1/1 epoch (loss 2.7613):  98%|█████████▊| 1225/1250 [29:48<00:36,  1.46s/it]
Training 1/1 epoch (loss 2.7613):  98%|█████████▊| 1226/1250 [29:48<00:40,  1.71s/it]
Training 1/1 epoch (loss 2.5920):  98%|█████████▊| 1226/1250 [29:49<00:40,  1.71s/it]
Training 1/1 epoch (loss 2.5920):  98%|█████████▊| 1227/1250 [29:49<00:35,  1.55s/it]
Training 1/1 epoch (loss 2.7750):  98%|█████████▊| 1227/1250 [29:50<00:35,  1.55s/it]
Training 1/1 epoch (loss 2.7750):  98%|█████████▊| 1228/1250 [29:50<00:29,  1.35s/it]
Training 1/1 epoch (loss 2.4490):  98%|█████████▊| 1228/1250 [29:52<00:29,  1.35s/it]
Training 1/1 epoch (loss 2.4490):  98%|█████████▊| 1229/1250 [29:52<00:32,  1.53s/it]
Training 1/1 epoch (loss 2.7231):  98%|█████████▊| 1229/1250 [29:53<00:32,  1.53s/it]
Training 1/1 epoch (loss 2.7231):  98%|█████████▊| 1230/1250 [29:53<00:29,  1.45s/it]
Training 1/1 epoch (loss 2.5655):  98%|█████████▊| 1230/1250 [29:55<00:29,  1.45s/it]
Training 1/1 epoch (loss 2.5655):  98%|█████████▊| 1231/1250 [29:55<00:32,  1.69s/it]
Training 1/1 epoch (loss 2.7202):  98%|█████████▊| 1231/1250 [29:58<00:32,  1.69s/it]
Training 1/1 epoch (loss 2.7202):  99%|█████████▊| 1232/1250 [29:58<00:33,  1.85s/it]
Training 1/1 epoch (loss 2.7348):  99%|█████████▊| 1232/1250 [29:59<00:33,  1.85s/it]
Training 1/1 epoch (loss 2.7348):  99%|█████████▊| 1233/1250 [29:59<00:28,  1.68s/it]
Training 1/1 epoch (loss 2.7303):  99%|█████████▊| 1233/1250 [30:01<00:28,  1.68s/it]
Training 1/1 epoch (loss 2.7303):  99%|█████████▊| 1234/1250 [30:01<00:26,  1.65s/it]
Training 1/1 epoch (loss 2.6274):  99%|█████████▊| 1234/1250 [30:02<00:26,  1.65s/it]
Training 1/1 epoch (loss 2.6274):  99%|█████████▉| 1235/1250 [30:02<00:23,  1.59s/it]
Training 1/1 epoch (loss 2.5260):  99%|█████████▉| 1235/1250 [30:03<00:23,  1.59s/it]
Training 1/1 epoch (loss 2.5260):  99%|█████████▉| 1236/1250 [30:03<00:20,  1.47s/it]
Training 1/1 epoch (loss 2.5806):  99%|█████████▉| 1236/1250 [30:05<00:20,  1.47s/it]
Training 1/1 epoch (loss 2.5806):  99%|█████████▉| 1237/1250 [30:05<00:19,  1.49s/it]
Training 1/1 epoch (loss 2.6502):  99%|█████████▉| 1237/1250 [30:06<00:19,  1.49s/it]
Training 1/1 epoch (loss 2.6502):  99%|█████████▉| 1238/1250 [30:06<00:16,  1.34s/it]
Training 1/1 epoch (loss 2.7734):  99%|█████████▉| 1238/1250 [30:08<00:16,  1.34s/it]
Training 1/1 epoch (loss 2.7734):  99%|█████████▉| 1239/1250 [30:08<00:17,  1.57s/it]
Training 1/1 epoch (loss 2.6343):  99%|█████████▉| 1239/1250 [30:10<00:17,  1.57s/it]
Training 1/1 epoch (loss 2.6343):  99%|█████████▉| 1240/1250 [30:10<00:16,  1.61s/it]
Training 1/1 epoch (loss 2.7026):  99%|█████████▉| 1240/1250 [30:10<00:16,  1.61s/it]
Training 1/1 epoch (loss 2.7026):  99%|█████████▉| 1241/1250 [30:10<00:12,  1.36s/it]
Training 1/1 epoch (loss 2.6986):  99%|█████████▉| 1241/1250 [30:12<00:12,  1.36s/it]
Training 1/1 epoch (loss 2.6986):  99%|█████████▉| 1242/1250 [30:12<00:12,  1.52s/it]
Training 1/1 epoch (loss 2.8446):  99%|█████████▉| 1242/1250 [30:14<00:12,  1.52s/it]
Training 1/1 epoch (loss 2.8446):  99%|█████████▉| 1243/1250 [30:14<00:10,  1.48s/it]
Training 1/1 epoch (loss 2.7785):  99%|█████████▉| 1243/1250 [30:14<00:10,  1.48s/it]
Training 1/1 epoch (loss 2.7785): 100%|█████████▉| 1244/1250 [30:14<00:07,  1.21s/it]
Training 1/1 epoch (loss 2.8996): 100%|█████████▉| 1244/1250 [30:16<00:07,  1.21s/it]
Training 1/1 epoch (loss 2.8996): 100%|█████████▉| 1245/1250 [30:16<00:06,  1.26s/it]
Training 1/1 epoch (loss 2.5351): 100%|█████████▉| 1245/1250 [30:17<00:06,  1.26s/it]
Training 1/1 epoch (loss 2.5351): 100%|█████████▉| 1246/1250 [30:17<00:05,  1.37s/it]
Training 1/1 epoch (loss 2.8519): 100%|█████████▉| 1246/1250 [30:18<00:05,  1.37s/it]
Training 1/1 epoch (loss 2.8519): 100%|█████████▉| 1247/1250 [30:18<00:04,  1.35s/it]
Training 1/1 epoch (loss 2.7077): 100%|█████████▉| 1247/1250 [30:20<00:04,  1.35s/it]
Training 1/1 epoch (loss 2.7077): 100%|█████████▉| 1248/1250 [30:20<00:02,  1.47s/it]
Training 1/1 epoch (loss 2.8051): 100%|█████████▉| 1248/1250 [30:21<00:02,  1.47s/it]
Training 1/1 epoch (loss 2.8051): 100%|█████████▉| 1249/1250 [30:21<00:01,  1.28s/it]
Training 1/1 epoch (loss 2.4727): 100%|█████████▉| 1249/1250 [30:23<00:01,  1.28s/it]
Training 1/1 epoch (loss 2.4727): 100%|██████████| 1250/1250 [30:23<00:00,  1.63s/it]
Training 1/1 epoch (loss 2.4727): 100%|██████████| 1250/1250 [30:23<00:00,  1.46s/it]
tokenizer config file saved in /aifs4su/hansirui_1st/jiayi/setting3-imdb/tinyllama-2T/tinyllama-2T-s3-Q1-10000/tokenizer_config.json
Special tokens file saved in /aifs4su/hansirui_1st/jiayi/setting3-imdb/tinyllama-2T/tinyllama-2T-s3-Q1-10000/special_tokens_map.json
wandb: ERROR Problem finishing run
Exception ignored in atexit callback: <bound method rank_zero_only.<locals>.wrapper of <safe_rlhf.logger.Logger object at 0x15540a9b5c10>>
Traceback (most recent call last):
  File "/home/hansirui_1st/jiayi/resist/setting3/safe_rlhf/utils.py", line 212, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/hansirui_1st/jiayi/resist/setting3/safe_rlhf/logger.py", line 183, in close
    self.wandb.finish()
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 406, in wrapper
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 503, in wrapper
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 451, in wrapper
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2309, in finish
    return self._finish(exit_code)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 406, in wrapper
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2337, in _finish
    self._atexit_cleanup(exit_code=exit_code)
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2550, in _atexit_cleanup
    self._on_finish()
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2806, in _on_finish
    wait_with_progress(
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/mailbox/wait_with_progress.py", line 24, in wait_with_progress
    return wait_all_with_progress(
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/mailbox/wait_with_progress.py", line 87, in wait_all_with_progress
    return asyncio_compat.run(progress_loop_with_timeout)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_compat.py", line 27, in run
    future = executor.submit(runner.run, fn)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/jy-resist/lib/python3.11/concurrent/futures/thread.py", line 169, in submit
    raise RuntimeError('cannot schedule new futures after '
RuntimeError: cannot schedule new futures after interpreter shutdown