stderr.log

+ deepspeed --master_port 55870 --module safe_rlhf.finetune --train_datasets inverse-json::/home/hansirui_1st/jiayi/resist/setting3/safety_data/training/safe/safe_40k.json --model_name_or_path /aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T --max_length 2048 --trust_remote_code True --epochs 1 --per_device_train_batch_size 4 --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/boyuan/resist/setting3-safety/tinyllama-2T/tinyllama-2T-s3-Q1-40k --log_type wandb --log_run_name tinyllama-2T-s3-Q1-40k --log_project Inverse_Alignment --zero_stage 3 --offload none --bf16 True --tf32 True --save_16bit
[rank6]:[W529 17:33:15.400252538 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.
[rank1]:[W529 17:33:15.453473395 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]:[W529 17:33:15.492204941 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.
[rank4]:[W529 17:33:15.492222471 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]:[W529 17:33:15.492234894 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.
[rank7]:[W529 17:33:15.637100729 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.
[rank0]:[W529 17:33:15.637149612 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.
[rank2]:[W529 17:33:15.640600212 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.
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 {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "use_cache": true,
  "vocab_size": 32000
}

Model config LlamaConfig {
  "_name_or_path": "/aifs4su/hansirui_1st/models/TinyLlama-1.1B-intermediate-step-955k-token-2T",
  "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": "4.49.0",
  "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
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
Will use torch_dtype=torch.float32 as defined in model's config object
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Instantiating LlamaForCausalLM model under default dtype torch.float32.
Will use torch_dtype=torch.float32 as defined in model's config object
Detected DeepSpeed ZeRO-3: activating zero.init() for this model
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
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
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
}

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

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 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 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
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
}

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
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
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.model
loading file tokenizer_config.json
loading file chat_template.jinja
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/by-align/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...
wandb: Using wandb-core as the SDK backend.  Please refer to https://wandb.me/wandb-core for more information.
`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 0.19.8
wandb: Run data is saved locally in /aifs4su/hansirui_1st/boyuan/resist/setting3-safety/tinyllama-2T/tinyllama-2T-s3-Q1-40k/wandb/run-20250529_173326-lki5zjlb
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run tinyllama-2T-s3-Q1-40k
wandb: ⭐️ View project at https://wandb.ai/xtom/Inverse_Alignment
wandb: 🚀 View run at https://wandb.ai/xtom/Inverse_Alignment/runs/lki5zjlb

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 1.8440):   5%|▍         | 61/1250 [00:26<06:39,  2.98it/s]
Training 1/1 epoch (loss 1.8440):   5%|▍         | 62/1250 [00:26<06:30,  3.04it/s]
Training 1/1 epoch (loss 1.8713):   5%|▍         | 62/1250 [00:27<06:30,  3.04it/s]
Training 1/1 epoch (loss 1.8713):   5%|▌         | 63/1250 [00:27<06:24,  3.09it/s]
Training 1/1 epoch (loss 1.8771):   5%|▌         | 63/1250 [00:27<06:24,  3.09it/s]
Training 1/1 epoch (loss 1.8771):   5%|▌         | 64/1250 [00:27<06:21,  3.11it/s]
Training 1/1 epoch (loss 1.7059):   5%|▌         | 64/1250 [00:27<06:21,  3.11it/s]
Training 1/1 epoch (loss 1.7059):   5%|▌         | 65/1250 [00:27<06:25,  3.08it/s]
Training 1/1 epoch (loss 1.8282):   5%|▌         | 65/1250 [00:28<06:25,  3.08it/s]
Training 1/1 epoch (loss 1.8282):   5%|▌         | 66/1250 [00:28<06:42,  2.94it/s]
Training 1/1 epoch (loss 1.7099):   5%|▌         | 66/1250 [00:28<06:42,  2.94it/s]
Training 1/1 epoch (loss 1.7099):   5%|▌         | 67/1250 [00:28<06:30,  3.03it/s]
Training 1/1 epoch (loss 1.7050):   5%|▌         | 67/1250 [00:28<06:30,  3.03it/s]
Training 1/1 epoch (loss 1.7050):   5%|▌         | 68/1250 [00:28<06:24,  3.07it/s]
Training 1/1 epoch (loss 1.7280):   5%|▌         | 68/1250 [00:29<06:24,  3.07it/s]
Training 1/1 epoch (loss 1.7280):   6%|▌         | 69/1250 [00:29<06:25,  3.06it/s]
Training 1/1 epoch (loss 1.6351):   6%|▌         | 69/1250 [00:29<06:25,  3.06it/s]
Training 1/1 epoch (loss 1.6351):   6%|▌         | 70/1250 [00:29<06:21,  3.09it/s]
Training 1/1 epoch (loss 1.5403):   6%|▌         | 70/1250 [00:29<06:21,  3.09it/s]
Training 1/1 epoch (loss 1.5403):   6%|▌         | 71/1250 [00:29<06:32,  3.01it/s]
Training 1/1 epoch (loss 1.8749):   6%|▌         | 71/1250 [00:30<06:32,  3.01it/s]
Training 1/1 epoch (loss 1.8749):   6%|▌         | 72/1250 [00:30<06:38,  2.96it/s]
Training 1/1 epoch (loss 1.7015):   6%|▌         | 72/1250 [00:30<06:38,  2.96it/s]
Training 1/1 epoch (loss 1.7015):   6%|▌         | 73/1250 [00:30<06:32,  3.00it/s]
Training 1/1 epoch (loss 1.7549):   6%|▌         | 73/1250 [00:30<06:32,  3.00it/s]
Training 1/1 epoch (loss 1.7549):   6%|▌         | 74/1250 [00:30<06:22,  3.07it/s]
Training 1/1 epoch (loss 1.7548):   6%|▌         | 74/1250 [00:31<06:22,  3.07it/s]
Training 1/1 epoch (loss 1.7548):   6%|▌         | 75/1250 [00:31<06:16,  3.12it/s]
Training 1/1 epoch (loss 1.8467):   6%|▌         | 75/1250 [00:31<06:16,  3.12it/s]
Training 1/1 epoch (loss 1.8467):   6%|▌         | 76/1250 [00:31<06:15,  3.12it/s]
Training 1/1 epoch (loss 1.6975):   6%|▌         | 76/1250 [00:31<06:15,  3.12it/s]
Training 1/1 epoch (loss 1.6975):   6%|▌         | 77/1250 [00:31<06:11,  3.16it/s]
Training 1/1 epoch (loss 1.6910):   6%|▌         | 77/1250 [00:32<06:11,  3.16it/s]
Training 1/1 epoch (loss 1.6910):   6%|▌         | 78/1250 [00:32<06:27,  3.02it/s]
Training 1/1 epoch (loss 1.8507):   6%|▌         | 78/1250 [00:32<06:27,  3.02it/s]
Training 1/1 epoch (loss 1.8507):   6%|▋         | 79/1250 [00:32<06:27,  3.03it/s]
Training 1/1 epoch (loss 1.6599):   6%|▋         | 79/1250 [00:32<06:27,  3.03it/s]
Training 1/1 epoch (loss 1.6599):   6%|▋         | 80/1250 [00:32<06:22,  3.06it/s]
Training 1/1 epoch (loss 1.7499):   6%|▋         | 80/1250 [00:33<06:22,  3.06it/s]
Training 1/1 epoch (loss 1.7499):   6%|▋         | 81/1250 [00:33<06:17,  3.10it/s]
Training 1/1 epoch (loss 1.7430):   6%|▋         | 81/1250 [00:33<06:17,  3.10it/s]
Training 1/1 epoch (loss 1.7430):   7%|▋         | 82/1250 [00:33<06:28,  3.01it/s]
Training 1/1 epoch (loss 1.7564):   7%|▋         | 82/1250 [00:33<06:28,  3.01it/s]
Training 1/1 epoch (loss 1.7564):   7%|▋         | 83/1250 [00:33<06:31,  2.98it/s]
Training 1/1 epoch (loss 1.8237):   7%|▋         | 83/1250 [00:34<06:31,  2.98it/s]
Training 1/1 epoch (loss 1.8237):   7%|▋         | 84/1250 [00:34<06:37,  2.94it/s]
Training 1/1 epoch (loss 1.7649):   7%|▋         | 84/1250 [00:34<06:37,  2.94it/s]
Training 1/1 epoch (loss 1.7649):   7%|▋         | 85/1250 [00:34<06:32,  2.97it/s]
Training 1/1 epoch (loss 1.7802):   7%|▋         | 85/1250 [00:34<06:32,  2.97it/s]
Training 1/1 epoch (loss 1.7802):   7%|▋         | 86/1250 [00:34<06:24,  3.03it/s]
Training 1/1 epoch (loss 1.6137):   7%|▋         | 86/1250 [00:35<06:24,  3.03it/s]
Training 1/1 epoch (loss 1.6137):   7%|▋         | 87/1250 [00:35<06:17,  3.08it/s]
Training 1/1 epoch (loss 1.7510):   7%|▋         | 87/1250 [00:35<06:17,  3.08it/s]
Training 1/1 epoch (loss 1.7510):   7%|▋         | 88/1250 [00:35<06:18,  3.07it/s]
Training 1/1 epoch (loss 1.7444):   7%|▋         | 88/1250 [00:35<06:18,  3.07it/s]
Training 1/1 epoch (loss 1.7444):   7%|▋         | 89/1250 [00:35<06:16,  3.08it/s]
Training 1/1 epoch (loss 1.7187):   7%|▋         | 89/1250 [00:36<06:16,  3.08it/s]
Training 1/1 epoch (loss 1.7187):   7%|▋         | 90/1250 [00:36<06:09,  3.14it/s]
Training 1/1 epoch (loss 1.7448):   7%|▋         | 90/1250 [00:36<06:09,  3.14it/s]
Training 1/1 epoch (loss 1.7448):   7%|▋         | 91/1250 [00:36<06:08,  3.14it/s]
Training 1/1 epoch (loss 1.6124):   7%|▋         | 91/1250 [00:36<06:08,  3.14it/s]
Training 1/1 epoch (loss 1.6124):   7%|▋         | 92/1250 [00:36<06:22,  3.03it/s]
Training 1/1 epoch (loss 1.7273):   7%|▋         | 92/1250 [00:37<06:22,  3.03it/s]
Training 1/1 epoch (loss 1.7273):   7%|▋         | 93/1250 [00:37<06:13,  3.10it/s]
Training 1/1 epoch (loss 1.7605):   7%|▋         | 93/1250 [00:37<06:13,  3.10it/s]
Training 1/1 epoch (loss 1.7605):   8%|▊         | 94/1250 [00:37<06:11,  3.11it/s]
Training 1/1 epoch (loss 1.7138):   8%|▊         | 94/1250 [00:37<06:11,  3.11it/s]
Training 1/1 epoch (loss 1.7138):   8%|▊         | 95/1250 [00:37<06:03,  3.18it/s]
Training 1/1 epoch (loss 1.7958):   8%|▊         | 95/1250 [00:38<06:03,  3.18it/s]
Training 1/1 epoch (loss 1.7958):   8%|▊         | 96/1250 [00:38<06:23,  3.01it/s]
Training 1/1 epoch (loss 1.7015):   8%|▊         | 96/1250 [00:38<06:23,  3.01it/s]
Training 1/1 epoch (loss 1.7015):   8%|▊         | 97/1250 [00:38<06:35,  2.91it/s]
Training 1/1 epoch (loss 1.7864):   8%|▊         | 97/1250 [00:38<06:35,  2.91it/s]
Training 1/1 epoch (loss 1.7864):   8%|▊         | 98/1250 [00:38<06:35,  2.91it/s]
Training 1/1 epoch (loss 1.6665):   8%|▊         | 98/1250 [00:39<06:35,  2.91it/s]
Training 1/1 epoch (loss 1.6665):   8%|▊         | 99/1250 [00:39<06:22,  3.01it/s]
Training 1/1 epoch (loss 1.5827):   8%|▊         | 99/1250 [00:39<06:22,  3.01it/s]
Training 1/1 epoch (loss 1.5827):   8%|▊         | 100/1250 [00:39<06:14,  3.07it/s]
Training 1/1 epoch (loss 1.5312):   8%|▊         | 100/1250 [00:39<06:14,  3.07it/s]
Training 1/1 epoch (loss 1.5312):   8%|▊         | 101/1250 [00:39<06:19,  3.03it/s]
Training 1/1 epoch (loss 1.7691):   8%|▊         | 101/1250 [00:40<06:19,  3.03it/s]
Training 1/1 epoch (loss 1.7691):   8%|▊         | 102/1250 [00:40<06:26,  2.97it/s]
Training 1/1 epoch (loss 1.7201):   8%|▊         | 102/1250 [00:40<06:26,  2.97it/s]
Training 1/1 epoch (loss 1.7201):   8%|▊         | 103/1250 [00:40<06:29,  2.95it/s]
Training 1/1 epoch (loss 1.7312):   8%|▊         | 103/1250 [00:40<06:29,  2.95it/s]
Training 1/1 epoch (loss 1.7312):   8%|▊         | 104/1250 [00:40<06:24,  2.98it/s]
Training 1/1 epoch (loss 1.8135):   8%|▊         | 104/1250 [00:41<06:24,  2.98it/s]
Training 1/1 epoch (loss 1.8135):   8%|▊         | 105/1250 [00:41<06:16,  3.04it/s]
Training 1/1 epoch (loss 1.7244):   8%|▊         | 105/1250 [00:41<06:16,  3.04it/s]
Training 1/1 epoch (loss 1.7244):   8%|▊         | 106/1250 [00:41<06:06,  3.12it/s]
Training 1/1 epoch (loss 1.6460):   8%|▊         | 106/1250 [00:41<06:06,  3.12it/s]
Training 1/1 epoch (loss 1.6460):   9%|▊         | 107/1250 [00:41<06:06,  3.12it/s]
Training 1/1 epoch (loss 1.7568):   9%|▊         | 107/1250 [00:42<06:06,  3.12it/s]
Training 1/1 epoch (loss 1.7568):   9%|▊         | 108/1250 [00:42<06:10,  3.08it/s]
Training 1/1 epoch (loss 1.6587):   9%|▊         | 108/1250 [00:42<06:10,  3.08it/s]
Training 1/1 epoch (loss 1.6587):   9%|▊         | 109/1250 [00:42<06:21,  2.99it/s]
Training 1/1 epoch (loss 1.7155):   9%|▊         | 109/1250 [00:42<06:21,  2.99it/s]
Training 1/1 epoch (loss 1.7155):   9%|▉         | 110/1250 [00:42<06:22,  2.98it/s]
Training 1/1 epoch (loss 1.6509):   9%|▉         | 110/1250 [00:43<06:22,  2.98it/s]
Training 1/1 epoch (loss 1.6509):   9%|▉         | 111/1250 [00:43<06:13,  3.05it/s]
Training 1/1 epoch (loss 1.6643):   9%|▉         | 111/1250 [00:43<06:13,  3.05it/s]
Training 1/1 epoch (loss 1.6643):   9%|▉         | 112/1250 [00:43<06:14,  3.04it/s]
Training 1/1 epoch (loss 1.6104):   9%|▉         | 112/1250 [00:43<06:14,  3.04it/s]
Training 1/1 epoch (loss 1.6104):   9%|▉         | 113/1250 [00:43<06:13,  3.04it/s]
Training 1/1 epoch (loss 1.6168):   9%|▉         | 113/1250 [00:44<06:13,  3.04it/s]
Training 1/1 epoch (loss 1.6168):   9%|▉         | 114/1250 [00:44<06:09,  3.07it/s]
Training 1/1 epoch (loss 1.6033):   9%|▉         | 114/1250 [00:44<06:09,  3.07it/s]
Training 1/1 epoch (loss 1.6033):   9%|▉         | 115/1250 [00:44<06:17,  3.01it/s]
Training 1/1 epoch (loss 1.6847):   9%|▉         | 115/1250 [00:44<06:17,  3.01it/s]
Training 1/1 epoch (loss 1.6847):   9%|▉         | 116/1250 [00:44<06:15,  3.02it/s]
Training 1/1 epoch (loss 1.7735):   9%|▉         | 116/1250 [00:45<06:15,  3.02it/s]
Training 1/1 epoch (loss 1.7735):   9%|▉         | 117/1250 [00:45<06:41,  2.82it/s]
Training 1/1 epoch (loss 1.7128):   9%|▉         | 117/1250 [00:45<06:41,  2.82it/s]
Training 1/1 epoch (loss 1.7128):   9%|▉         | 118/1250 [00:45<06:28,  2.91it/s]
Training 1/1 epoch (loss 1.7020):   9%|▉         | 118/1250 [00:45<06:28,  2.91it/s]
Training 1/1 epoch (loss 1.7020):  10%|▉         | 119/1250 [00:45<06:27,  2.92it/s]
Training 1/1 epoch (loss 1.6180):  10%|▉         | 119/1250 [00:46<06:27,  2.92it/s]
Training 1/1 epoch (loss 1.6180):  10%|▉         | 120/1250 [00:46<06:52,  2.74it/s]
Training 1/1 epoch (loss 1.7101):  10%|▉         | 120/1250 [00:46<06:52,  2.74it/s]
Training 1/1 epoch (loss 1.7101):  10%|▉         | 121/1250 [00:46<06:34,  2.86it/s]
Training 1/1 epoch (loss 1.7494):  10%|▉         | 121/1250 [00:46<06:34,  2.86it/s]
Training 1/1 epoch (loss 1.7494):  10%|▉         | 122/1250 [00:46<06:31,  2.88it/s]
Training 1/1 epoch (loss 1.6206):  10%|▉         | 122/1250 [00:47<06:31,  2.88it/s]
Training 1/1 epoch (loss 1.6206):  10%|▉         | 123/1250 [00:47<06:27,  2.91it/s]
Training 1/1 epoch (loss 1.6345):  10%|▉         | 123/1250 [00:47<06:27,  2.91it/s]
Training 1/1 epoch (loss 1.6345):  10%|▉         | 124/1250 [00:47<06:12,  3.02it/s]
Training 1/1 epoch (loss 1.7739):  10%|▉         | 124/1250 [00:47<06:12,  3.02it/s]
Training 1/1 epoch (loss 1.7739):  10%|█         | 125/1250 [00:47<06:07,  3.06it/s]
Training 1/1 epoch (loss 1.6055):  10%|█         | 125/1250 [00:48<06:07,  3.06it/s]
Training 1/1 epoch (loss 1.6055):  10%|█         | 126/1250 [00:48<06:26,  2.91it/s]
Training 1/1 epoch (loss 1.7526):  10%|█         | 126/1250 [00:48<06:26,  2.91it/s]
Training 1/1 epoch (loss 1.7526):  10%|█         | 127/1250 [00:48<06:24,  2.92it/s]
Training 1/1 epoch (loss 1.6757):  10%|█         | 127/1250 [00:48<06:24,  2.92it/s]
Training 1/1 epoch (loss 1.6757):  10%|█         | 128/1250 [00:48<06:20,  2.95it/s]
Training 1/1 epoch (loss 1.7244):  10%|█         | 128/1250 [00:49<06:20,  2.95it/s]
Training 1/1 epoch (loss 1.7244):  10%|█         | 129/1250 [00:49<06:17,  2.97it/s]
Training 1/1 epoch (loss 1.6343):  10%|█         | 129/1250 [00:49<06:17,  2.97it/s]
Training 1/1 epoch (loss 1.6343):  10%|█         | 130/1250 [00:49<06:13,  3.00it/s]
Training 1/1 epoch (loss 1.6563):  10%|█         | 130/1250 [00:49<06:13,  3.00it/s]
Training 1/1 epoch (loss 1.6563):  10%|█         | 131/1250 [00:49<06:12,  3.01it/s]
Training 1/1 epoch (loss 1.6773):  10%|█         | 131/1250 [00:50<06:12,  3.01it/s]
Training 1/1 epoch (loss 1.6773):  11%|█         | 132/1250 [00:50<06:26,  2.90it/s]
Training 1/1 epoch (loss 1.7196):  11%|█         | 132/1250 [00:50<06:26,  2.90it/s]
Training 1/1 epoch (loss 1.7196):  11%|█         | 133/1250 [00:50<06:21,  2.93it/s]
Training 1/1 epoch (loss 1.6251):  11%|█         | 133/1250 [00:50<06:21,  2.93it/s]
Training 1/1 epoch (loss 1.6251):  11%|█         | 134/1250 [00:50<06:06,  3.05it/s]
Training 1/1 epoch (loss 1.7006):  11%|█         | 134/1250 [00:51<06:06,  3.05it/s]
Training 1/1 epoch (loss 1.7006):  11%|█         | 135/1250 [00:51<06:04,  3.06it/s]
Training 1/1 epoch (loss 1.7195):  11%|█         | 135/1250 [00:51<06:04,  3.06it/s]
Training 1/1 epoch (loss 1.7195):  11%|█         | 136/1250 [00:51<06:02,  3.07it/s]
Training 1/1 epoch (loss 1.6672):  11%|█         | 136/1250 [00:51<06:02,  3.07it/s]
Training 1/1 epoch (loss 1.6672):  11%|█         | 137/1250 [00:51<06:04,  3.05it/s]
Training 1/1 epoch (loss 1.5522):  11%|█         | 137/1250 [00:52<06:04,  3.05it/s]
Training 1/1 epoch (loss 1.5522):  11%|█         | 138/1250 [00:52<06:03,  3.06it/s]
Training 1/1 epoch (loss 1.5814):  11%|█         | 138/1250 [00:52<06:03,  3.06it/s]
Training 1/1 epoch (loss 1.5814):  11%|█         | 139/1250 [00:52<06:04,  3.05it/s]
Training 1/1 epoch (loss 1.7004):  11%|█         | 139/1250 [00:52<06:04,  3.05it/s]
Training 1/1 epoch (loss 1.7004):  11%|█         | 140/1250 [00:52<05:58,  3.10it/s]
Training 1/1 epoch (loss 1.7011):  11%|█         | 140/1250 [00:53<05:58,  3.10it/s]
Training 1/1 epoch (loss 1.7011):  11%|█▏        | 141/1250 [00:53<05:52,  3.15it/s]
Training 1/1 epoch (loss 1.6075):  11%|█▏        | 141/1250 [00:53<05:52,  3.15it/s]
Training 1/1 epoch (loss 1.6075):  11%|█▏        | 142/1250 [00:53<05:57,  3.10it/s]
Training 1/1 epoch (loss 1.7217):  11%|█▏        | 142/1250 [00:53<05:57,  3.10it/s]
Training 1/1 epoch (loss 1.7217):  11%|█▏        | 143/1250 [00:53<05:53,  3.13it/s]
Training 1/1 epoch (loss 1.6726):  11%|█▏        | 143/1250 [00:54<05:53,  3.13it/s]
Training 1/1 epoch (loss 1.6726):  12%|█▏        | 144/1250 [00:54<06:05,  3.03it/s]
Training 1/1 epoch (loss 1.5462):  12%|█▏        | 144/1250 [00:54<06:05,  3.03it/s]
Training 1/1 epoch (loss 1.5462):  12%|█▏        | 145/1250 [00:54<06:06,  3.01it/s]
Training 1/1 epoch (loss 1.6133):  12%|█▏        | 145/1250 [00:54<06:06,  3.01it/s]
Training 1/1 epoch (loss 1.6133):  12%|█▏        | 146/1250 [00:54<06:00,  3.06it/s]
Training 1/1 epoch (loss 1.7072):  12%|█▏        | 146/1250 [00:55<06:00,  3.06it/s]
Training 1/1 epoch (loss 1.7072):  12%|█▏        | 147/1250 [00:55<05:55,  3.10it/s]
Training 1/1 epoch (loss 1.5206):  12%|█▏        | 147/1250 [00:55<05:55,  3.10it/s]
Training 1/1 epoch (loss 1.5206):  12%|█▏        | 148/1250 [00:55<05:52,  3.13it/s]
Training 1/1 epoch (loss 1.5996):  12%|█▏        | 148/1250 [00:55<05:52,  3.13it/s]
Training 1/1 epoch (loss 1.5996):  12%|█▏        | 149/1250 [00:55<06:05,  3.01it/s]
Training 1/1 epoch (loss 1.7479):  12%|█▏        | 149/1250 [00:56<06:05,  3.01it/s]
Training 1/1 epoch (loss 1.7479):  12%|█▏        | 150/1250 [00:56<06:01,  3.04it/s]
Training 1/1 epoch (loss 1.6373):  12%|█▏        | 150/1250 [00:56<06:01,  3.04it/s]
Training 1/1 epoch (loss 1.6373):  12%|█▏        | 151/1250 [00:56<06:04,  3.02it/s]
Training 1/1 epoch (loss 1.6293):  12%|█▏        | 151/1250 [00:56<06:04,  3.02it/s]
Training 1/1 epoch (loss 1.6293):  12%|█▏        | 152/1250 [00:56<06:04,  3.01it/s]
Training 1/1 epoch (loss 1.5753):  12%|█▏        | 152/1250 [00:57<06:04,  3.01it/s]
Training 1/1 epoch (loss 1.5753):  12%|█▏        | 153/1250 [00:57<06:06,  2.99it/s]
Training 1/1 epoch (loss 1.6842):  12%|█▏        | 153/1250 [00:57<06:06,  2.99it/s]
Training 1/1 epoch (loss 1.6842):  12%|█▏        | 154/1250 [00:57<06:02,  3.02it/s]
Training 1/1 epoch (loss 1.6403):  12%|█▏        | 154/1250 [00:57<06:02,  3.02it/s]
Training 1/1 epoch (loss 1.6403):  12%|█▏        | 155/1250 [00:57<06:16,  2.91it/s]
Training 1/1 epoch (loss 1.7937):  12%|█▏        | 155/1250 [00:58<06:16,  2.91it/s]
Training 1/1 epoch (loss 1.7937):  12%|█▏        | 156/1250 [00:58<06:22,  2.86it/s]
Training 1/1 epoch (loss 1.6188):  12%|█▏        | 156/1250 [00:58<06:22,  2.86it/s]
Training 1/1 epoch (loss 1.6188):  13%|█▎        | 157/1250 [00:58<06:17,  2.89it/s]
Training 1/1 epoch (loss 1.6577):  13%|█▎        | 157/1250 [00:58<06:17,  2.89it/s]
Training 1/1 epoch (loss 1.6577):  13%|█▎        | 158/1250 [00:58<06:07,  2.97it/s]
Training 1/1 epoch (loss 1.7033):  13%|█▎        | 158/1250 [00:59<06:07,  2.97it/s]
Training 1/1 epoch (loss 1.7033):  13%|█▎        | 159/1250 [00:59<06:00,  3.02it/s]
Training 1/1 epoch (loss 1.6625):  13%|█▎        | 159/1250 [00:59<06:00,  3.02it/s]
Training 1/1 epoch (loss 1.6625):  13%|█▎        | 160/1250 [00:59<05:59,  3.03it/s]
Training 1/1 epoch (loss 1.7135):  13%|█▎        | 160/1250 [00:59<05:59,  3.03it/s]
Training 1/1 epoch (loss 1.7135):  13%|█▎        | 161/1250 [00:59<05:53,  3.08it/s]
Training 1/1 epoch (loss 1.6255):  13%|█▎        | 161/1250 [01:00<05:53,  3.08it/s]
Training 1/1 epoch (loss 1.6255):  13%|█▎        | 162/1250 [01:00<06:02,  3.00it/s]
Training 1/1 epoch (loss 1.6038):  13%|█▎        | 162/1250 [01:00<06:02,  3.00it/s]
Training 1/1 epoch (loss 1.6038):  13%|█▎        | 163/1250 [01:00<06:10,  2.93it/s]
Training 1/1 epoch (loss 1.6483):  13%|█▎        | 163/1250 [01:00<06:10,  2.93it/s]
Training 1/1 epoch (loss 1.6483):  13%|█▎        | 164/1250 [01:00<06:25,  2.82it/s]
Training 1/1 epoch (loss 1.7052):  13%|█▎        | 164/1250 [01:01<06:25,  2.82it/s]
Training 1/1 epoch (loss 1.7052):  13%|█▎        | 165/1250 [01:01<06:12,  2.91it/s]
Training 1/1 epoch (loss 1.6509):  13%|█▎        | 165/1250 [01:01<06:12,  2.91it/s]
Training 1/1 epoch (loss 1.6509):  13%|█▎        | 166/1250 [01:01<06:00,  3.00it/s]
Training 1/1 epoch (loss 1.6489):  13%|█▎        | 166/1250 [01:01<06:00,  3.00it/s]
Training 1/1 epoch (loss 1.6489):  13%|█▎        | 167/1250 [01:01<05:55,  3.05it/s]
Training 1/1 epoch (loss 1.7147):  13%|█▎        | 167/1250 [01:02<05:55,  3.05it/s]
Training 1/1 epoch (loss 1.7147):  13%|█▎        | 168/1250 [01:02<06:06,  2.96it/s]
Training 1/1 epoch (loss 1.5914):  13%|█▎        | 168/1250 [01:02<06:06,  2.96it/s]
Training 1/1 epoch (loss 1.5914):  14%|█▎        | 169/1250 [01:02<06:11,  2.91it/s]
Training 1/1 epoch (loss 1.7178):  14%|█▎        | 169/1250 [01:02<06:11,  2.91it/s]
Training 1/1 epoch (loss 1.7178):  14%|█▎        | 170/1250 [01:02<06:04,  2.97it/s]
Training 1/1 epoch (loss 1.5484):  14%|█▎        | 170/1250 [01:03<06:04,  2.97it/s]
Training 1/1 epoch (loss 1.5484):  14%|█▎        | 171/1250 [01:03<05:53,  3.05it/s]
Training 1/1 epoch (loss 1.6309):  14%|█▎        | 171/1250 [01:03<05:53,  3.05it/s]
Training 1/1 epoch (loss 1.6309):  14%|█▍        | 172/1250 [01:03<05:51,  3.07it/s]
Training 1/1 epoch (loss 1.4909):  14%|█▍        | 172/1250 [01:03<05:51,  3.07it/s]
Training 1/1 epoch (loss 1.4909):  14%|█▍        | 173/1250 [01:03<05:52,  3.05it/s]
Training 1/1 epoch (loss 1.5342):  14%|█▍        | 173/1250 [01:04<05:52,  3.05it/s]
Training 1/1 epoch (loss 1.5342):  14%|█▍        | 174/1250 [01:04<05:51,  3.06it/s]
Training 1/1 epoch (loss 1.6587):  14%|█▍        | 174/1250 [01:04<05:51,  3.06it/s]
Training 1/1 epoch (loss 1.6587):  14%|█▍        | 175/1250 [01:04<05:55,  3.02it/s]
Training 1/1 epoch (loss 1.6396):  14%|█▍        | 175/1250 [01:04<05:55,  3.02it/s]
Training 1/1 epoch (loss 1.6396):  14%|█▍        | 176/1250 [01:04<05:55,  3.02it/s]
Training 1/1 epoch (loss 1.6741):  14%|█▍        | 176/1250 [01:05<05:55,  3.02it/s]
Training 1/1 epoch (loss 1.6741):  14%|█▍        | 177/1250 [01:05<05:51,  3.05it/s]
Training 1/1 epoch (loss 1.6257):  14%|█▍        | 177/1250 [01:05<05:51,  3.05it/s]
Training 1/1 epoch (loss 1.6257):  14%|█▍        | 178/1250 [01:05<05:41,  3.14it/s]
Training 1/1 epoch (loss 1.5932):  14%|█▍        | 178/1250 [01:05<05:41,  3.14it/s]
Training 1/1 epoch (loss 1.5932):  14%|█▍        | 179/1250 [01:05<05:43,  3.11it/s]
Training 1/1 epoch (loss 1.6069):  14%|█▍        | 179/1250 [01:06<05:43,  3.11it/s]
Training 1/1 epoch (loss 1.6069):  14%|█▍        | 180/1250 [01:06<06:02,  2.95it/s]
Training 1/1 epoch (loss 1.6143):  14%|█▍        | 180/1250 [01:06<06:02,  2.95it/s]
Training 1/1 epoch (loss 1.6143):  14%|█▍        | 181/1250 [01:06<06:00,  2.96it/s]
Training 1/1 epoch (loss 1.7559):  14%|█▍        | 181/1250 [01:06<06:00,  2.96it/s]
Training 1/1 epoch (loss 1.7559):  15%|█▍        | 182/1250 [01:06<05:53,  3.02it/s]
Training 1/1 epoch (loss 1.6504):  15%|█▍        | 182/1250 [01:07<05:53,  3.02it/s]
Training 1/1 epoch (loss 1.6504):  15%|█▍        | 183/1250 [01:07<05:45,  3.09it/s]
Training 1/1 epoch (loss 1.7136):  15%|█▍        | 183/1250 [01:07<05:45,  3.09it/s]
Training 1/1 epoch (loss 1.7136):  15%|█▍        | 184/1250 [01:07<05:55,  3.00it/s]
Training 1/1 epoch (loss 1.6592):  15%|█▍        | 184/1250 [01:07<05:55,  3.00it/s]
Training 1/1 epoch (loss 1.6592):  15%|█▍        | 185/1250 [01:07<05:48,  3.05it/s]
Training 1/1 epoch (loss 1.7109):  15%|█▍        | 185/1250 [01:08<05:48,  3.05it/s]
Training 1/1 epoch (loss 1.7109):  15%|█▍        | 186/1250 [01:08<05:47,  3.06it/s]
Training 1/1 epoch (loss 1.6405):  15%|█▍        | 186/1250 [01:08<05:47,  3.06it/s]
Training 1/1 epoch (loss 1.6405):  15%|█▍        | 187/1250 [01:08<05:53,  3.01it/s]
Training 1/1 epoch (loss 1.6203):  15%|█▍        | 187/1250 [01:08<05:53,  3.01it/s]
Training 1/1 epoch (loss 1.6203):  15%|█▌        | 188/1250 [01:08<05:52,  3.02it/s]
Training 1/1 epoch (loss 1.6863):  15%|█▌        | 188/1250 [01:09<05:52,  3.02it/s]
Training 1/1 epoch (loss 1.6863):  15%|█▌        | 189/1250 [01:09<05:51,  3.02it/s]
Training 1/1 epoch (loss 1.6963):  15%|█▌        | 189/1250 [01:09<05:51,  3.02it/s]
Training 1/1 epoch (loss 1.6963):  15%|█▌        | 190/1250 [01:09<05:43,  3.09it/s]
Training 1/1 epoch (loss 1.6401):  15%|█▌        | 190/1250 [01:09<05:43,  3.09it/s]
Training 1/1 epoch (loss 1.6401):  15%|█▌        | 191/1250 [01:09<05:34,  3.17it/s]
Training 1/1 epoch (loss 1.6719):  15%|█▌        | 191/1250 [01:10<05:34,  3.17it/s]
Training 1/1 epoch (loss 1.6719):  15%|█▌        | 192/1250 [01:10<05:46,  3.05it/s]
Training 1/1 epoch (loss 1.5388):  15%|█▌        | 192/1250 [01:10<05:46,  3.05it/s]
Training 1/1 epoch (loss 1.5388):  15%|█▌        | 193/1250 [01:10<05:51,  3.00it/s]
Training 1/1 epoch (loss 1.5542):  15%|█▌        | 193/1250 [01:10<05:51,  3.00it/s]
Training 1/1 epoch (loss 1.5542):  16%|█▌        | 194/1250 [01:10<05:48,  3.03it/s]
Training 1/1 epoch (loss 1.6488):  16%|█▌        | 194/1250 [01:11<05:48,  3.03it/s]
Training 1/1 epoch (loss 1.6488):  16%|█▌        | 195/1250 [01:11<05:47,  3.03it/s]
Training 1/1 epoch (loss 1.6269):  16%|█▌        | 195/1250 [01:11<05:47,  3.03it/s]
Training 1/1 epoch (loss 1.6269):  16%|█▌        | 196/1250 [01:11<05:45,  3.05it/s]
Training 1/1 epoch (loss 1.6381):  16%|█▌        | 196/1250 [01:11<05:45,  3.05it/s]
Training 1/1 epoch (loss 1.6381):  16%|█▌        | 197/1250 [01:11<05:43,  3.06it/s]
Training 1/1 epoch (loss 1.6572):  16%|█▌        | 197/1250 [01:12<05:43,  3.06it/s]
Training 1/1 epoch (loss 1.6572):  16%|█▌        | 198/1250 [01:12<05:50,  3.00it/s]
Training 1/1 epoch (loss 1.7127):  16%|█▌        | 198/1250 [01:12<05:50,  3.00it/s]
Training 1/1 epoch (loss 1.7127):  16%|█▌        | 199/1250 [01:12<05:55,  2.95it/s]
Training 1/1 epoch (loss 1.5168):  16%|█▌        | 199/1250 [01:12<05:55,  2.95it/s]
Training 1/1 epoch (loss 1.5168):  16%|█▌        | 200/1250 [01:12<05:50,  2.99it/s]
Training 1/1 epoch (loss 1.5615):  16%|█▌        | 200/1250 [01:13<05:50,  2.99it/s]
Training 1/1 epoch (loss 1.5615):  16%|█▌        | 201/1250 [01:13<05:46,  3.03it/s]
Training 1/1 epoch (loss 1.5241):  16%|█▌        | 201/1250 [01:13<05:46,  3.03it/s]
Training 1/1 epoch (loss 1.5241):  16%|█▌        | 202/1250 [01:13<05:37,  3.10it/s]
Training 1/1 epoch (loss 1.6296):  16%|█▌        | 202/1250 [01:13<05:37,  3.10it/s]
Training 1/1 epoch (loss 1.6296):  16%|█▌        | 203/1250 [01:13<05:40,  3.08it/s]
Training 1/1 epoch (loss 1.6001):  16%|█▌        | 203/1250 [01:13<05:40,  3.08it/s]
Training 1/1 epoch (loss 1.6001):  16%|█▋        | 204/1250 [01:13<05:42,  3.06it/s]
Training 1/1 epoch (loss 1.5036):  16%|█▋        | 204/1250 [01:14<05:42,  3.06it/s]
Training 1/1 epoch (loss 1.5036):  16%|█▋        | 205/1250 [01:14<06:06,  2.85it/s]
Training 1/1 epoch (loss 1.7072):  16%|█▋        | 205/1250 [01:14<06:06,  2.85it/s]
Training 1/1 epoch (loss 1.7072):  16%|█▋        | 206/1250 [01:14<06:24,  2.72it/s]
Training 1/1 epoch (loss 1.6386):  16%|█▋        | 206/1250 [01:15<06:24,  2.72it/s]
Training 1/1 epoch (loss 1.6386):  17%|█▋        | 207/1250 [01:15<06:20,  2.74it/s]
Training 1/1 epoch (loss 1.6602):  17%|█▋        | 207/1250 [01:15<06:20,  2.74it/s]
Training 1/1 epoch (loss 1.6602):  17%|█▋        | 208/1250 [01:15<06:07,  2.83it/s]
Training 1/1 epoch (loss 1.6150):  17%|█▋        | 208/1250 [01:15<06:07,  2.83it/s]
Training 1/1 epoch (loss 1.6150):  17%|█▋        | 209/1250 [01:15<06:03,  2.86it/s]
Training 1/1 epoch (loss 1.6153):  17%|█▋        | 209/1250 [01:16<06:03,  2.86it/s]
Training 1/1 epoch (loss 1.6153):  17%|█▋        | 210/1250 [01:16<06:05,  2.84it/s]
Training 1/1 epoch (loss 1.6349):  17%|█▋        | 210/1250 [01:16<06:05,  2.84it/s]
Training 1/1 epoch (loss 1.6349):  17%|█▋        | 211/1250 [01:16<06:13,  2.78it/s]
Training 1/1 epoch (loss 1.6174):  17%|█▋        | 211/1250 [01:16<06:13,  2.78it/s]
Training 1/1 epoch (loss 1.6174):  17%|█▋        | 212/1250 [01:16<05:55,  2.92it/s]
Training 1/1 epoch (loss 1.6462):  17%|█▋        | 212/1250 [01:17<05:55,  2.92it/s]
Training 1/1 epoch (loss 1.6462):  17%|█▋        | 213/1250 [01:17<05:45,  3.00it/s]
Training 1/1 epoch (loss 1.5557):  17%|█▋        | 213/1250 [01:17<05:45,  3.00it/s]
Training 1/1 epoch (loss 1.5557):  17%|█▋        | 214/1250 [01:17<05:47,  2.98it/s]
Training 1/1 epoch (loss 1.6338):  17%|█▋        | 214/1250 [01:17<05:47,  2.98it/s]
Training 1/1 epoch (loss 1.6338):  17%|█▋        | 215/1250 [01:17<05:45,  3.00it/s]
Training 1/1 epoch (loss 1.6456):  17%|█▋        | 215/1250 [01:18<05:45,  3.00it/s]
Training 1/1 epoch (loss 1.6456):  17%|█▋        | 216/1250 [01:18<06:05,  2.83it/s]
Training 1/1 epoch (loss 1.7086):  17%|█▋        | 216/1250 [01:18<06:05,  2.83it/s]
Training 1/1 epoch (loss 1.7086):  17%|█▋        | 217/1250 [01:18<05:55,  2.91it/s]
Training 1/1 epoch (loss 1.6360):  17%|█▋        | 217/1250 [01:18<05:55,  2.91it/s]
Training 1/1 epoch (loss 1.6360):  17%|█▋        | 218/1250 [01:18<05:43,  3.01it/s]
Training 1/1 epoch (loss 1.6479):  17%|█▋        | 218/1250 [01:19<05:43,  3.01it/s]
Training 1/1 epoch (loss 1.6479):  18%|█▊        | 219/1250 [01:19<05:35,  3.07it/s]
Training 1/1 epoch (loss 1.6044):  18%|█▊        | 219/1250 [01:19<05:35,  3.07it/s]
Training 1/1 epoch (loss 1.6044):  18%|█▊        | 220/1250 [01:19<05:27,  3.15it/s]
Training 1/1 epoch (loss 1.4782):  18%|█▊        | 220/1250 [01:19<05:27,  3.15it/s]
Training 1/1 epoch (loss 1.4782):  18%|█▊        | 221/1250 [01:19<05:47,  2.96it/s]
Training 1/1 epoch (loss 1.6171):  18%|█▊        | 221/1250 [01:20<05:47,  2.96it/s]
Training 1/1 epoch (loss 1.6171):  18%|█▊        | 222/1250 [01:20<05:56,  2.88it/s]
Training 1/1 epoch (loss 1.6052):  18%|█▊        | 222/1250 [01:20<05:56,  2.88it/s]
Training 1/1 epoch (loss 1.6052):  18%|█▊        | 223/1250 [01:20<05:50,  2.93it/s]
Training 1/1 epoch (loss 1.7536):  18%|█▊        | 223/1250 [01:20<05:50,  2.93it/s]
Training 1/1 epoch (loss 1.7536):  18%|█▊        | 224/1250 [01:20<05:42,  3.00it/s]
Training 1/1 epoch (loss 1.7144):  18%|█▊        | 224/1250 [01:21<05:42,  3.00it/s]
Training 1/1 epoch (loss 1.7144):  18%|█▊        | 225/1250 [01:21<05:41,  3.01it/s]
Training 1/1 epoch (loss 1.5455):  18%|█▊        | 225/1250 [01:21<05:41,  3.01it/s]
Training 1/1 epoch (loss 1.5455):  18%|█▊        | 226/1250 [01:21<05:34,  3.06it/s]
Training 1/1 epoch (loss 1.6433):  18%|█▊        | 226/1250 [01:21<05:34,  3.06it/s]
Training 1/1 epoch (loss 1.6433):  18%|█▊        | 227/1250 [01:21<05:38,  3.02it/s]
Training 1/1 epoch (loss 1.7469):  18%|█▊        | 227/1250 [01:22<05:38,  3.02it/s]
Training 1/1 epoch (loss 1.7469):  18%|█▊        | 228/1250 [01:22<06:20,  2.68it/s]
Training 1/1 epoch (loss 1.5943):  18%|█▊        | 228/1250 [01:22<06:20,  2.68it/s]
Training 1/1 epoch (loss 1.5943):  18%|█▊        | 229/1250 [01:22<06:00,  2.83it/s]
Training 1/1 epoch (loss 1.7100):  18%|█▊        | 229/1250 [01:22<06:00,  2.83it/s]
Training 1/1 epoch (loss 1.7100):  18%|█▊        | 230/1250 [01:22<05:44,  2.96it/s]
Training 1/1 epoch (loss 1.5117):  18%|█▊        | 230/1250 [01:23<05:44,  2.96it/s]
Training 1/1 epoch (loss 1.5117):  18%|█▊        | 231/1250 [01:23<05:33,  3.06it/s]
Training 1/1 epoch (loss 1.6362):  18%|█▊        | 231/1250 [01:23<05:33,  3.06it/s]
Training 1/1 epoch (loss 1.6362):  19%|█▊        | 232/1250 [01:23<05:46,  2.94it/s]
Training 1/1 epoch (loss 1.6859):  19%|█▊        | 232/1250 [01:23<05:46,  2.94it/s]
Training 1/1 epoch (loss 1.6859):  19%|█▊        | 233/1250 [01:23<05:39,  2.99it/s]
Training 1/1 epoch (loss 1.5388):  19%|█▊        | 233/1250 [01:24<05:39,  2.99it/s]
Training 1/1 epoch (loss 1.5388):  19%|█▊        | 234/1250 [01:24<05:51,  2.89it/s]
Training 1/1 epoch (loss 1.4877):  19%|█▊        | 234/1250 [01:24<05:51,  2.89it/s]
Training 1/1 epoch (loss 1.4877):  19%|█▉        | 235/1250 [01:24<05:45,  2.93it/s]
Training 1/1 epoch (loss 1.6822):  19%|█▉        | 235/1250 [01:24<05:45,  2.93it/s]
Training 1/1 epoch (loss 1.6822):  19%|█▉        | 236/1250 [01:24<05:33,  3.04it/s]
Training 1/1 epoch (loss 1.5888):  19%|█▉        | 236/1250 [01:25<05:33,  3.04it/s]
Training 1/1 epoch (loss 1.5888):  19%|█▉        | 237/1250 [01:25<05:25,  3.12it/s]
Training 1/1 epoch (loss 1.7018):  19%|█▉        | 237/1250 [01:25<05:25,  3.12it/s]
Training 1/1 epoch (loss 1.7018):  19%|█▉        | 238/1250 [01:25<05:22,  3.14it/s]
Training 1/1 epoch (loss 1.5647):  19%|█▉        | 238/1250 [01:25<05:22,  3.14it/s]
Training 1/1 epoch (loss 1.5647):  19%|█▉        | 239/1250 [01:25<05:26,  3.09it/s]
Training 1/1 epoch (loss 1.6897):  19%|█▉        | 239/1250 [01:26<05:26,  3.09it/s]
Training 1/1 epoch (loss 1.6897):  19%|█▉        | 240/1250 [01:26<05:48,  2.90it/s]
Training 1/1 epoch (loss 1.6972):  19%|█▉        | 240/1250 [01:26<05:48,  2.90it/s]
Training 1/1 epoch (loss 1.6972):  19%|█▉        | 241/1250 [01:26<05:47,  2.91it/s]
Training 1/1 epoch (loss 1.5131):  19%|█▉        | 241/1250 [01:26<05:47,  2.91it/s]
Training 1/1 epoch (loss 1.5131):  19%|█▉        | 242/1250 [01:26<05:45,  2.92it/s]
Training 1/1 epoch (loss 1.6371):  19%|█▉        | 242/1250 [01:27<05:45,  2.92it/s]
Training 1/1 epoch (loss 1.6371):  19%|█▉        | 243/1250 [01:27<05:34,  3.01it/s]
Training 1/1 epoch (loss 1.5939):  19%|█▉        | 243/1250 [01:27<05:34,  3.01it/s]
Training 1/1 epoch (loss 1.5939):  20%|█▉        | 244/1250 [01:27<05:29,  3.06it/s]
Training 1/1 epoch (loss 1.5540):  20%|█▉        | 244/1250 [01:27<05:29,  3.06it/s]
Training 1/1 epoch (loss 1.5540):  20%|█▉        | 245/1250 [01:27<05:49,  2.88it/s]
Training 1/1 epoch (loss 1.6070):  20%|█▉        | 245/1250 [01:28<05:49,  2.88it/s]
Training 1/1 epoch (loss 1.6070):  20%|█▉        | 246/1250 [01:28<06:14,  2.68it/s]
Training 1/1 epoch (loss 1.6770):  20%|█▉        | 246/1250 [01:28<06:14,  2.68it/s]
Training 1/1 epoch (loss 1.6770):  20%|█▉        | 247/1250 [01:28<05:51,  2.86it/s]
Training 1/1 epoch (loss 1.6093):  20%|█▉        | 247/1250 [01:29<05:51,  2.86it/s]
Training 1/1 epoch (loss 1.6093):  20%|█▉        | 248/1250 [01:29<05:47,  2.88it/s]
Training 1/1 epoch (loss 1.6457):  20%|█▉        | 248/1250 [01:29<05:47,  2.88it/s]
Training 1/1 epoch (loss 1.6457):  20%|█▉        | 249/1250 [01:29<05:33,  3.00it/s]
Training 1/1 epoch (loss 1.6275):  20%|█▉        | 249/1250 [01:29<05:33,  3.00it/s]
Training 1/1 epoch (loss 1.6275):  20%|██        | 250/1250 [01:29<05:26,  3.06it/s]
Training 1/1 epoch (loss 1.6736):  20%|██        | 250/1250 [01:30<05:26,  3.06it/s]
Training 1/1 epoch (loss 1.6736):  20%|██        | 251/1250 [01:30<05:35,  2.98it/s]
Training 1/1 epoch (loss 1.7277):  20%|██        | 251/1250 [01:30<05:35,  2.98it/s]
Training 1/1 epoch (loss 1.7277):  20%|██        | 252/1250 [01:30<05:40,  2.93it/s]
Training 1/1 epoch (loss 1.6705):  20%|██        | 252/1250 [01:30<05:40,  2.93it/s]
Training 1/1 epoch (loss 1.6705):  20%|██        | 253/1250 [01:30<05:31,  3.00it/s]
Training 1/1 epoch (loss 1.5868):  20%|██        | 253/1250 [01:31<05:31,  3.00it/s]
Training 1/1 epoch (loss 1.5868):  20%|██        | 254/1250 [01:31<05:41,  2.92it/s]
Training 1/1 epoch (loss 1.6084):  20%|██        | 254/1250 [01:31<05:41,  2.92it/s]
Training 1/1 epoch (loss 1.6084):  20%|██        | 255/1250 [01:31<05:40,  2.93it/s]
Training 1/1 epoch (loss 1.5542):  20%|██        | 255/1250 [01:31<05:40,  2.93it/s]
Training 1/1 epoch (loss 1.5542):  20%|██        | 256/1250 [01:31<05:28,  3.02it/s]
Training 1/1 epoch (loss 1.6128):  20%|██        | 256/1250 [01:32<05:28,  3.02it/s]
Training 1/1 epoch (loss 1.6128):  21%|██        | 257/1250 [01:32<05:33,  2.98it/s]
Training 1/1 epoch (loss 1.5427):  21%|██        | 257/1250 [01:32<05:33,  2.98it/s]
Training 1/1 epoch (loss 1.5427):  21%|██        | 258/1250 [01:32<05:45,  2.87it/s]
Training 1/1 epoch (loss 1.5273):  21%|██        | 258/1250 [01:32<05:45,  2.87it/s]
Training 1/1 epoch (loss 1.5273):  21%|██        | 259/1250 [01:32<05:37,  2.94it/s]
Training 1/1 epoch (loss 1.7221):  21%|██        | 259/1250 [01:33<05:37,  2.94it/s]
Training 1/1 epoch (loss 1.7221):  21%|██        | 260/1250 [01:33<05:26,  3.04it/s]
Training 1/1 epoch (loss 1.5717):  21%|██        | 260/1250 [01:33<05:26,  3.04it/s]
Training 1/1 epoch (loss 1.5717):  21%|██        | 261/1250 [01:33<05:16,  3.12it/s]
Training 1/1 epoch (loss 1.5828):  21%|██        | 261/1250 [01:33<05:16,  3.12it/s]
Training 1/1 epoch (loss 1.5828):  21%|██        | 262/1250 [01:33<05:14,  3.14it/s]
Training 1/1 epoch (loss 1.7143):  21%|██        | 262/1250 [01:33<05:14,  3.14it/s]
Training 1/1 epoch (loss 1.7143):  21%|██        | 263/1250 [01:33<05:19,  3.09it/s]
Training 1/1 epoch (loss 1.6139):  21%|██        | 263/1250 [01:34<05:19,  3.09it/s]
Training 1/1 epoch (loss 1.6139):  21%|██        | 264/1250 [01:34<05:29,  2.99it/s]
Training 1/1 epoch (loss 1.5215):  21%|██        | 264/1250 [01:34<05:29,  2.99it/s]
Training 1/1 epoch (loss 1.5215):  21%|██        | 265/1250 [01:34<05:25,  3.03it/s]
Training 1/1 epoch (loss 1.5978):  21%|██        | 265/1250 [01:35<05:25,  3.03it/s]
Training 1/1 epoch (loss 1.5978):  21%|██▏       | 266/1250 [01:35<05:47,  2.83it/s]
Training 1/1 epoch (loss 1.5593):  21%|██▏       | 266/1250 [01:35<05:47,  2.83it/s]
Training 1/1 epoch (loss 1.5593):  21%|██▏       | 267/1250 [01:35<06:06,  2.68it/s]
Training 1/1 epoch (loss 1.6031):  21%|██▏       | 267/1250 [01:35<06:06,  2.68it/s]
Training 1/1 epoch (loss 1.6031):  21%|██▏       | 268/1250 [01:35<06:08,  2.67it/s]
Training 1/1 epoch (loss 1.5090):  21%|██▏       | 268/1250 [01:36<06:08,  2.67it/s]
Training 1/1 epoch (loss 1.5090):  22%|██▏       | 269/1250 [01:36<05:52,  2.78it/s]
Training 1/1 epoch (loss 1.5928):  22%|██▏       | 269/1250 [01:36<05:52,  2.78it/s]
Training 1/1 epoch (loss 1.5928):  22%|██▏       | 270/1250 [01:36<05:44,  2.84it/s]
Training 1/1 epoch (loss 1.6158):  22%|██▏       | 270/1250 [01:36<05:44,  2.84it/s]
Training 1/1 epoch (loss 1.6158):  22%|██▏       | 271/1250 [01:36<05:32,  2.94it/s]
Training 1/1 epoch (loss 1.6039):  22%|██▏       | 271/1250 [01:37<05:32,  2.94it/s]
Training 1/1 epoch (loss 1.6039):  22%|██▏       | 272/1250 [01:37<05:25,  3.01it/s]
Training 1/1 epoch (loss 1.5105):  22%|██▏       | 272/1250 [01:37<05:25,  3.01it/s]
Training 1/1 epoch (loss 1.5105):  22%|██▏       | 273/1250 [01:37<05:36,  2.90it/s]
Training 1/1 epoch (loss 1.5658):  22%|██▏       | 273/1250 [01:37<05:36,  2.90it/s]
Training 1/1 epoch (loss 1.5658):  22%|██▏       | 274/1250 [01:37<05:35,  2.91it/s]
Training 1/1 epoch (loss 1.5938):  22%|██▏       | 274/1250 [01:38<05:35,  2.91it/s]
Training 1/1 epoch (loss 1.5938):  22%|██▏       | 275/1250 [01:38<05:36,  2.89it/s]
Training 1/1 epoch (loss 1.5544):  22%|██▏       | 275/1250 [01:38<05:36,  2.89it/s]
Training 1/1 epoch (loss 1.5544):  22%|██▏       | 276/1250 [01:38<05:33,  2.92it/s]
Training 1/1 epoch (loss 1.5722):  22%|██▏       | 276/1250 [01:38<05:33,  2.92it/s]
Training 1/1 epoch (loss 1.5722):  22%|██▏       | 277/1250 [01:38<05:27,  2.97it/s]
Training 1/1 epoch (loss 1.5927):  22%|██▏       | 277/1250 [01:39<05:27,  2.97it/s]
Training 1/1 epoch (loss 1.5927):  22%|██▏       | 278/1250 [01:39<05:16,  3.07it/s]
Training 1/1 epoch (loss 1.6895):  22%|██▏       | 278/1250 [01:39<05:16,  3.07it/s]
Training 1/1 epoch (loss 1.6895):  22%|██▏       | 279/1250 [01:39<05:29,  2.95it/s]
Training 1/1 epoch (loss 1.7311):  22%|██▏       | 279/1250 [01:39<05:29,  2.95it/s]
Training 1/1 epoch (loss 1.7311):  22%|██▏       | 280/1250 [01:39<05:30,  2.94it/s]
Training 1/1 epoch (loss 1.6755):  22%|██▏       | 280/1250 [01:40<05:30,  2.94it/s]
Training 1/1 epoch (loss 1.6755):  22%|██▏       | 281/1250 [01:40<05:28,  2.95it/s]
Training 1/1 epoch (loss 1.5794):  22%|██▏       | 281/1250 [01:40<05:28,  2.95it/s]
Training 1/1 epoch (loss 1.5794):  23%|██▎       | 282/1250 [01:40<05:26,  2.97it/s]
Training 1/1 epoch (loss 1.5393):  23%|██▎       | 282/1250 [01:40<05:26,  2.97it/s]
Training 1/1 epoch (loss 1.5393):  23%|██▎       | 283/1250 [01:40<05:19,  3.02it/s]
Training 1/1 epoch (loss 1.5164):  23%|██▎       | 283/1250 [01:41<05:19,  3.02it/s]
Training 1/1 epoch (loss 1.5164):  23%|██▎       | 284/1250 [01:41<05:08,  3.13it/s]
Training 1/1 epoch (loss 1.6751):  23%|██▎       | 284/1250 [01:41<05:08,  3.13it/s]
Training 1/1 epoch (loss 1.6751):  23%|██▎       | 285/1250 [01:41<05:05,  3.16it/s]
Training 1/1 epoch (loss 1.5478):  23%|██▎       | 285/1250 [01:41<05:05,  3.16it/s]
Training 1/1 epoch (loss 1.5478):  23%|██▎       | 286/1250 [01:41<05:03,  3.18it/s]
Training 1/1 epoch (loss 1.6563):  23%|██▎       | 286/1250 [01:42<05:03,  3.18it/s]
Training 1/1 epoch (loss 1.6563):  23%|██▎       | 287/1250 [01:42<05:01,  3.19it/s]
Training 1/1 epoch (loss 1.5295):  23%|██▎       | 287/1250 [01:42<05:01,  3.19it/s]
Training 1/1 epoch (loss 1.5295):  23%|██▎       | 288/1250 [01:42<05:12,  3.08it/s]
Training 1/1 epoch (loss 1.6710):  23%|██▎       | 288/1250 [01:42<05:12,  3.08it/s]
Training 1/1 epoch (loss 1.6710):  23%|██▎       | 289/1250 [01:42<05:16,  3.04it/s]
Training 1/1 epoch (loss 1.5751):  23%|██▎       | 289/1250 [01:43<05:16,  3.04it/s]
Training 1/1 epoch (loss 1.5751):  23%|██▎       | 290/1250 [01:43<05:08,  3.11it/s]
Training 1/1 epoch (loss 1.5927):  23%|██▎       | 290/1250 [01:43<05:08,  3.11it/s]
Training 1/1 epoch (loss 1.5927):  23%|██▎       | 291/1250 [01:43<04:59,  3.20it/s]
Training 1/1 epoch (loss 1.6131):  23%|██▎       | 291/1250 [01:43<04:59,  3.20it/s]
Training 1/1 epoch (loss 1.6131):  23%|██▎       | 292/1250 [01:43<05:03,  3.16it/s]
Training 1/1 epoch (loss 1.6467):  23%|██▎       | 292/1250 [01:44<05:03,  3.16it/s]
Training 1/1 epoch (loss 1.6467):  23%|██▎       | 293/1250 [01:44<04:59,  3.20it/s]
Training 1/1 epoch (loss 1.6036):  23%|██▎       | 293/1250 [01:44<04:59,  3.20it/s]
Training 1/1 epoch (loss 1.6036):  24%|██▎       | 294/1250 [01:44<05:08,  3.10it/s]
Training 1/1 epoch (loss 1.6298):  24%|██▎       | 294/1250 [01:44<05:08,  3.10it/s]
Training 1/1 epoch (loss 1.6298):  24%|██▎       | 295/1250 [01:44<05:04,  3.13it/s]
Training 1/1 epoch (loss 1.6126):  24%|██▎       | 295/1250 [01:45<05:04,  3.13it/s]
Training 1/1 epoch (loss 1.6126):  24%|██▎       | 296/1250 [01:45<05:12,  3.05it/s]
Training 1/1 epoch (loss 1.7168):  24%|██▎       | 296/1250 [01:45<05:12,  3.05it/s]
Training 1/1 epoch (loss 1.7168):  24%|██▍       | 297/1250 [01:45<05:05,  3.12it/s]
Training 1/1 epoch (loss 1.5556):  24%|██▍       | 297/1250 [01:45<05:05,  3.12it/s]
Training 1/1 epoch (loss 1.5556):  24%|██▍       | 298/1250 [01:45<05:02,  3.14it/s]
Training 1/1 epoch (loss 1.5828):  24%|██▍       | 298/1250 [01:45<05:02,  3.14it/s]
Training 1/1 epoch (loss 1.5828):  24%|██▍       | 299/1250 [01:45<05:01,  3.15it/s]
Training 1/1 epoch (loss 1.5870):  24%|██▍       | 299/1250 [01:46<05:01,  3.15it/s]
Training 1/1 epoch (loss 1.5870):  24%|██▍       | 300/1250 [01:46<05:05,  3.11it/s]
Training 1/1 epoch (loss 1.6951):  24%|██▍       | 300/1250 [01:46<05:05,  3.11it/s]
Training 1/1 epoch (loss 1.6951):  24%|██▍       | 301/1250 [01:46<05:10,  3.06it/s]
Training 1/1 epoch (loss 1.6014):  24%|██▍       | 301/1250 [01:46<05:10,  3.06it/s]
Training 1/1 epoch (loss 1.6014):  24%|██▍       | 302/1250 [01:46<04:59,  3.17it/s]
Training 1/1 epoch (loss 1.6361):  24%|██▍       | 302/1250 [01:47<04:59,  3.17it/s]
Training 1/1 epoch (loss 1.6361):  24%|██▍       | 303/1250 [01:47<04:59,  3.16it/s]
Training 1/1 epoch (loss 1.6392):  24%|██▍       | 303/1250 [01:47<04:59,  3.16it/s]
Training 1/1 epoch (loss 1.6392):  24%|██▍       | 304/1250 [01:47<04:57,  3.18it/s]
Training 1/1 epoch (loss 1.6090):  24%|██▍       | 304/1250 [01:47<04:57,  3.18it/s]
Training 1/1 epoch (loss 1.6090):  24%|██▍       | 305/1250 [01:47<05:15,  3.00it/s]
Training 1/1 epoch (loss 1.5447):  24%|██▍       | 305/1250 [01:48<05:15,  3.00it/s]
Training 1/1 epoch (loss 1.5447):  24%|██▍       | 306/1250 [01:48<05:14,  3.00it/s]
Training 1/1 epoch (loss 1.6214):  24%|██▍       | 306/1250 [01:48<05:14,  3.00it/s]
Training 1/1 epoch (loss 1.6214):  25%|██▍       | 307/1250 [01:48<05:18,  2.96it/s]
Training 1/1 epoch (loss 1.5637):  25%|██▍       | 307/1250 [01:48<05:18,  2.96it/s]
Training 1/1 epoch (loss 1.5637):  25%|██▍       | 308/1250 [01:48<05:09,  3.04it/s]
Training 1/1 epoch (loss 1.6563):  25%|██▍       | 308/1250 [01:49<05:09,  3.04it/s]
Training 1/1 epoch (loss 1.6563):  25%|██▍       | 309/1250 [01:49<05:02,  3.11it/s]
Training 1/1 epoch (loss 1.6813):  25%|██▍       | 309/1250 [01:49<05:02,  3.11it/s]
Training 1/1 epoch (loss 1.6813):  25%|██▍       | 310/1250 [01:49<04:58,  3.15it/s]
Training 1/1 epoch (loss 1.5708):  25%|██▍       | 310/1250 [01:49<04:58,  3.15it/s]
Training 1/1 epoch (loss 1.5708):  25%|██▍       | 311/1250 [01:49<05:00,  3.13it/s]
Training 1/1 epoch (loss 1.6274):  25%|██▍       | 311/1250 [01:50<05:00,  3.13it/s]
Training 1/1 epoch (loss 1.6274):  25%|██▍       | 312/1250 [01:50<05:19,  2.94it/s]
Training 1/1 epoch (loss 1.6267):  25%|██▍       | 312/1250 [01:50<05:19,  2.94it/s]
Training 1/1 epoch (loss 1.6267):  25%|██▌       | 313/1250 [01:50<05:20,  2.92it/s]
Training 1/1 epoch (loss 1.5943):  25%|██▌       | 313/1250 [01:50<05:20,  2.92it/s]
Training 1/1 epoch (loss 1.5943):  25%|██▌       | 314/1250 [01:50<05:38,  2.77it/s]
Training 1/1 epoch (loss 1.6432):  25%|██▌       | 314/1250 [01:51<05:38,  2.77it/s]
Training 1/1 epoch (loss 1.6432):  25%|██▌       | 315/1250 [01:51<05:33,  2.80it/s]
Training 1/1 epoch (loss 1.4095):  25%|██▌       | 315/1250 [01:51<05:33,  2.80it/s]
Training 1/1 epoch (loss 1.4095):  25%|██▌       | 316/1250 [01:51<05:19,  2.92it/s]
Training 1/1 epoch (loss 1.5688):  25%|██▌       | 316/1250 [01:51<05:19,  2.92it/s]
Training 1/1 epoch (loss 1.5688):  25%|██▌       | 317/1250 [01:51<05:09,  3.02it/s]
Training 1/1 epoch (loss 1.6449):  25%|██▌       | 317/1250 [01:52<05:09,  3.02it/s]
Training 1/1 epoch (loss 1.6449):  25%|██▌       | 318/1250 [01:52<05:07,  3.03it/s]
Training 1/1 epoch (loss 1.6766):  25%|██▌       | 318/1250 [01:52<05:07,  3.03it/s]
Training 1/1 epoch (loss 1.6766):  26%|██▌       | 319/1250 [01:52<05:25,  2.86it/s]
Training 1/1 epoch (loss 1.4774):  26%|██▌       | 319/1250 [01:53<05:25,  2.86it/s]
Training 1/1 epoch (loss 1.4774):  26%|██▌       | 320/1250 [01:53<05:40,  2.73it/s]
Training 1/1 epoch (loss 1.6102):  26%|██▌       | 320/1250 [01:53<05:40,  2.73it/s]
Training 1/1 epoch (loss 1.6102):  26%|██▌       | 321/1250 [01:53<05:43,  2.71it/s]
Training 1/1 epoch (loss 1.6485):  26%|██▌       | 321/1250 [01:53<05:43,  2.71it/s]
Training 1/1 epoch (loss 1.6485):  26%|██▌       | 322/1250 [01:53<05:42,  2.71it/s]
Training 1/1 epoch (loss 1.5127):  26%|██▌       | 322/1250 [01:54<05:42,  2.71it/s]
Training 1/1 epoch (loss 1.5127):  26%|██▌       | 323/1250 [01:54<05:36,  2.75it/s]
Training 1/1 epoch (loss 1.6061):  26%|██▌       | 323/1250 [01:54<05:36,  2.75it/s]
Training 1/1 epoch (loss 1.6061):  26%|██▌       | 324/1250 [01:54<05:43,  2.70it/s]
Training 1/1 epoch (loss 1.6090):  26%|██▌       | 324/1250 [01:54<05:43,  2.70it/s]
Training 1/1 epoch (loss 1.6090):  26%|██▌       | 325/1250 [01:54<05:29,  2.81it/s]
Training 1/1 epoch (loss 1.6839):  26%|██▌       | 325/1250 [01:55<05:29,  2.81it/s]
Training 1/1 epoch (loss 1.6839):  26%|██▌       | 326/1250 [01:55<05:13,  2.95it/s]
Training 1/1 epoch (loss 1.6015):  26%|██▌       | 326/1250 [01:55<05:13,  2.95it/s]
Training 1/1 epoch (loss 1.6015):  26%|██▌       | 327/1250 [01:55<05:00,  3.07it/s]
Training 1/1 epoch (loss 1.5252):  26%|██▌       | 327/1250 [01:55<05:00,  3.07it/s]
Training 1/1 epoch (loss 1.5252):  26%|██▌       | 328/1250 [01:55<04:59,  3.07it/s]
Training 1/1 epoch (loss 1.6129):  26%|██▌       | 328/1250 [01:56<04:59,  3.07it/s]
Training 1/1 epoch (loss 1.6129):  26%|██▋       | 329/1250 [01:56<04:56,  3.10it/s]
Training 1/1 epoch (loss 1.6711):  26%|██▋       | 329/1250 [01:56<04:56,  3.10it/s]
Training 1/1 epoch (loss 1.6711):  26%|██▋       | 330/1250 [01:56<05:31,  2.77it/s]
Training 1/1 epoch (loss 1.6621):  26%|██▋       | 330/1250 [01:56<05:31,  2.77it/s]
Training 1/1 epoch (loss 1.6621):  26%|██▋       | 331/1250 [01:56<05:31,  2.78it/s]
Training 1/1 epoch (loss 1.5470):  26%|██▋       | 331/1250 [01:57<05:31,  2.78it/s]
Training 1/1 epoch (loss 1.5470):  27%|██▋       | 332/1250 [01:57<05:16,  2.90it/s]
Training 1/1 epoch (loss 1.4893):  27%|██▋       | 332/1250 [01:57<05:16,  2.90it/s]
Training 1/1 epoch (loss 1.4893):  27%|██▋       | 333/1250 [01:57<05:11,  2.95it/s]
Training 1/1 epoch (loss 1.5145):  27%|██▋       | 333/1250 [01:57<05:11,  2.95it/s]
Training 1/1 epoch (loss 1.5145):  27%|██▋       | 334/1250 [01:57<05:16,  2.90it/s]
Training 1/1 epoch (loss 1.5349):  27%|██▋       | 334/1250 [01:58<05:16,  2.90it/s]
Training 1/1 epoch (loss 1.5349):  27%|██▋       | 335/1250 [01:58<05:17,  2.88it/s]
Training 1/1 epoch (loss 1.5335):  27%|██▋       | 335/1250 [01:58<05:17,  2.88it/s]
Training 1/1 epoch (loss 1.5335):  27%|██▋       | 336/1250 [01:58<05:39,  2.69it/s]
Training 1/1 epoch (loss 1.6054):  27%|██▋       | 336/1250 [01:59<05:39,  2.69it/s]
Training 1/1 epoch (loss 1.6054):  27%|██▋       | 337/1250 [01:59<05:24,  2.82it/s]
Training 1/1 epoch (loss 1.6002):  27%|██▋       | 337/1250 [01:59<05:24,  2.82it/s]
Training 1/1 epoch (loss 1.6002):  27%|██▋       | 338/1250 [01:59<07:12,  2.11it/s]
Training 1/1 epoch (loss 1.5967):  27%|██▋       | 338/1250 [02:00<07:12,  2.11it/s]
Training 1/1 epoch (loss 1.5967):  27%|██▋       | 339/1250 [02:00<06:35,  2.30it/s]
Training 1/1 epoch (loss 1.5495):  27%|██▋       | 339/1250 [02:00<06:35,  2.30it/s]
Training 1/1 epoch (loss 1.5495):  27%|██▋       | 340/1250 [02:00<06:08,  2.47it/s]
Training 1/1 epoch (loss 1.6200):  27%|██▋       | 340/1250 [02:00<06:08,  2.47it/s]
Training 1/1 epoch (loss 1.6200):  27%|██▋       | 341/1250 [02:00<05:51,  2.59it/s]
Training 1/1 epoch (loss 1.5883):  27%|██▋       | 341/1250 [02:01<05:51,  2.59it/s]
Training 1/1 epoch (loss 1.5883):  27%|██▋       | 342/1250 [02:01<05:32,  2.73it/s]
Training 1/1 epoch (loss 1.6733):  27%|██▋       | 342/1250 [02:01<05:32,  2.73it/s]
Training 1/1 epoch (loss 1.6733):  27%|██▋       | 343/1250 [02:01<05:13,  2.89it/s]
Training 1/1 epoch (loss 1.6710):  27%|██▋       | 343/1250 [02:01<05:13,  2.89it/s]
Training 1/1 epoch (loss 1.6710):  28%|██▊       | 344/1250 [02:01<05:11,  2.91it/s]
Training 1/1 epoch (loss 1.6250):  28%|██▊       | 344/1250 [02:02<05:11,  2.91it/s]
Training 1/1 epoch (loss 1.6250):  28%|██▊       | 345/1250 [02:02<05:01,  3.00it/s]
Training 1/1 epoch (loss 1.5616):  28%|██▊       | 345/1250 [02:02<05:01,  3.00it/s]
Training 1/1 epoch (loss 1.5616):  28%|██▊       | 346/1250 [02:02<05:02,  2.99it/s]
Training 1/1 epoch (loss 1.5430):  28%|██▊       | 346/1250 [02:02<05:02,  2.99it/s]
Training 1/1 epoch (loss 1.5430):  28%|██▊       | 347/1250 [02:02<05:06,  2.95it/s]
Training 1/1 epoch (loss 1.6039):  28%|██▊       | 347/1250 [02:03<05:06,  2.95it/s]
Training 1/1 epoch (loss 1.6039):  28%|██▊       | 348/1250 [02:03<05:11,  2.89it/s]
Training 1/1 epoch (loss 1.6082):  28%|██▊       | 348/1250 [02:03<05:11,  2.89it/s]
Training 1/1 epoch (loss 1.6082):  28%|██▊       | 349/1250 [02:03<05:18,  2.83it/s]
Training 1/1 epoch (loss 1.4704):  28%|██▊       | 349/1250 [02:03<05:18,  2.83it/s]
Training 1/1 epoch (loss 1.4704):  28%|██▊       | 350/1250 [02:03<05:20,  2.81it/s]
Training 1/1 epoch (loss 1.4788):  28%|██▊       | 350/1250 [02:04<05:20,  2.81it/s]
Training 1/1 epoch (loss 1.4788):  28%|██▊       | 351/1250 [02:04<05:21,  2.80it/s]
Training 1/1 epoch (loss 1.6381):  28%|██▊       | 351/1250 [02:04<05:21,  2.80it/s]
Training 1/1 epoch (loss 1.6381):  28%|██▊       | 352/1250 [02:04<05:43,  2.61it/s]
Training 1/1 epoch (loss 1.5997):  28%|██▊       | 352/1250 [02:04<05:43,  2.61it/s]
Training 1/1 epoch (loss 1.5997):  28%|██▊       | 353/1250 [02:04<05:30,  2.72it/s]
Training 1/1 epoch (loss 1.6104):  28%|██▊       | 353/1250 [02:05<05:30,  2.72it/s]
Training 1/1 epoch (loss 1.6104):  28%|██▊       | 354/1250 [02:05<05:22,  2.77it/s]
Training 1/1 epoch (loss 1.7510):  28%|██▊       | 354/1250 [02:05<05:22,  2.77it/s]
Training 1/1 epoch (loss 1.7510):  28%|██▊       | 355/1250 [02:05<05:07,  2.91it/s]
Training 1/1 epoch (loss 1.5433):  28%|██▊       | 355/1250 [02:05<05:07,  2.91it/s]
Training 1/1 epoch (loss 1.5433):  28%|██▊       | 356/1250 [02:05<04:55,  3.03it/s]
Training 1/1 epoch (loss 1.6681):  28%|██▊       | 356/1250 [02:06<04:55,  3.03it/s]
Training 1/1 epoch (loss 1.6681):  29%|██▊       | 357/1250 [02:06<04:53,  3.04it/s]
Training 1/1 epoch (loss 1.6715):  29%|██▊       | 357/1250 [02:06<04:53,  3.04it/s]
Training 1/1 epoch (loss 1.6715):  29%|██▊       | 358/1250 [02:06<04:54,  3.03it/s]
Training 1/1 epoch (loss 1.6712):  29%|██▊       | 358/1250 [02:06<04:54,  3.03it/s]
Training 1/1 epoch (loss 1.6712):  29%|██▊       | 359/1250 [02:06<04:49,  3.08it/s]
Training 1/1 epoch (loss 1.5895):  29%|██▊       | 359/1250 [02:07<04:49,  3.08it/s]
Training 1/1 epoch (loss 1.5895):  29%|██▉       | 360/1250 [02:07<04:45,  3.11it/s]
Training 1/1 epoch (loss 1.5263):  29%|██▉       | 360/1250 [02:07<04:45,  3.11it/s]
Training 1/1 epoch (loss 1.5263):  29%|██▉       | 361/1250 [02:07<04:46,  3.11it/s]
Training 1/1 epoch (loss 1.5522):  29%|██▉       | 361/1250 [02:07<04:46,  3.11it/s]
Training 1/1 epoch (loss 1.5522):  29%|██▉       | 362/1250 [02:07<04:37,  3.20it/s]
Training 1/1 epoch (loss 1.6224):  29%|██▉       | 362/1250 [02:08<04:37,  3.20it/s]
Training 1/1 epoch (loss 1.6224):  29%|██▉       | 363/1250 [02:08<04:44,  3.12it/s]
Training 1/1 epoch (loss 1.5473):  29%|██▉       | 363/1250 [02:08<04:44,  3.12it/s]
Training 1/1 epoch (loss 1.5473):  29%|██▉       | 364/1250 [02:08<04:54,  3.01it/s]
Training 1/1 epoch (loss 1.7393):  29%|██▉       | 364/1250 [02:08<04:54,  3.01it/s]
Training 1/1 epoch (loss 1.7393):  29%|██▉       | 365/1250 [02:08<05:07,  2.87it/s]
Training 1/1 epoch (loss 1.4828):  29%|██▉       | 365/1250 [02:09<05:07,  2.87it/s]
Training 1/1 epoch (loss 1.4828):  29%|██▉       | 366/1250 [02:09<04:56,  2.98it/s]
Training 1/1 epoch (loss 1.6772):  29%|██▉       | 366/1250 [02:09<04:56,  2.98it/s]
Training 1/1 epoch (loss 1.6772):  29%|██▉       | 367/1250 [02:09<04:45,  3.09it/s]
Training 1/1 epoch (loss 1.6025):  29%|██▉       | 367/1250 [02:09<04:45,  3.09it/s]
Training 1/1 epoch (loss 1.6025):  29%|██▉       | 368/1250 [02:09<04:48,  3.06it/s]
Training 1/1 epoch (loss 1.5806):  29%|██▉       | 368/1250 [02:10<04:48,  3.06it/s]
Training 1/1 epoch (loss 1.5806):  30%|██▉       | 369/1250 [02:10<04:54,  2.99it/s]
Training 1/1 epoch (loss 1.6951):  30%|██▉       | 369/1250 [02:10<04:54,  2.99it/s]
Training 1/1 epoch (loss 1.6951):  30%|██▉       | 370/1250 [02:10<05:05,  2.88it/s]
Training 1/1 epoch (loss 1.5532):  30%|██▉       | 370/1250 [02:10<05:05,  2.88it/s]
Training 1/1 epoch (loss 1.5532):  30%|██▉       | 371/1250 [02:10<04:55,  2.97it/s]
Training 1/1 epoch (loss 1.5018):  30%|██▉       | 371/1250 [02:11<04:55,  2.97it/s]
Training 1/1 epoch (loss 1.5018):  30%|██▉       | 372/1250 [02:11<04:48,  3.04it/s]
Training 1/1 epoch (loss 1.5470):  30%|██▉       | 372/1250 [02:11<04:48,  3.04it/s]
Training 1/1 epoch (loss 1.5470):  30%|██▉       | 373/1250 [02:11<04:42,  3.10it/s]
Training 1/1 epoch (loss 1.6161):  30%|██▉       | 373/1250 [02:11<04:42,  3.10it/s]
Training 1/1 epoch (loss 1.6161):  30%|██▉       | 374/1250 [02:11<04:32,  3.21it/s]
Training 1/1 epoch (loss 1.5409):  30%|██▉       | 374/1250 [02:12<04:32,  3.21it/s]
Training 1/1 epoch (loss 1.5409):  30%|███       | 375/1250 [02:12<04:33,  3.20it/s]
Training 1/1 epoch (loss 1.5500):  30%|███       | 375/1250 [02:12<04:33,  3.20it/s]
Training 1/1 epoch (loss 1.5500):  30%|███       | 376/1250 [02:12<04:52,  2.98it/s]
Training 1/1 epoch (loss 1.5552):  30%|███       | 376/1250 [02:12<04:52,  2.98it/s]
Training 1/1 epoch (loss 1.5552):  30%|███       | 377/1250 [02:12<04:47,  3.04it/s]
Training 1/1 epoch (loss 1.5489):  30%|███       | 377/1250 [02:13<04:47,  3.04it/s]
Training 1/1 epoch (loss 1.5489):  30%|███       | 378/1250 [02:13<04:43,  3.08it/s]
Training 1/1 epoch (loss 1.6958):  30%|███       | 378/1250 [02:13<04:43,  3.08it/s]
Training 1/1 epoch (loss 1.6958):  30%|███       | 379/1250 [02:13<04:36,  3.14it/s]
Training 1/1 epoch (loss 1.5941):  30%|███       | 379/1250 [02:13<04:36,  3.14it/s]
Training 1/1 epoch (loss 1.5941):  30%|███       | 380/1250 [02:13<04:28,  3.24it/s]
Training 1/1 epoch (loss 1.6410):  30%|███       | 380/1250 [02:14<04:28,  3.24it/s]
Training 1/1 epoch (loss 1.6410):  30%|███       | 381/1250 [02:14<04:46,  3.03it/s]
Training 1/1 epoch (loss 1.5711):  30%|███       | 381/1250 [02:14<04:46,  3.03it/s]
Training 1/1 epoch (loss 1.5711):  31%|███       | 382/1250 [02:14<04:48,  3.01it/s]
Training 1/1 epoch (loss 1.4735):  31%|███       | 382/1250 [02:14<04:48,  3.01it/s]
Training 1/1 epoch (loss 1.4735):  31%|███       | 383/1250 [02:14<04:45,  3.03it/s]
Training 1/1 epoch (loss 1.6788):  31%|███       | 383/1250 [02:15<04:45,  3.03it/s]
Training 1/1 epoch (loss 1.6788):  31%|███       | 384/1250 [02:15<04:49,  2.99it/s]
Training 1/1 epoch (loss 1.5759):  31%|███       | 384/1250 [02:15<04:49,  2.99it/s]
Training 1/1 epoch (loss 1.5759):  31%|███       | 385/1250 [02:15<04:41,  3.08it/s]
Training 1/1 epoch (loss 1.5840):  31%|███       | 385/1250 [02:15<04:41,  3.08it/s]
Training 1/1 epoch (loss 1.5840):  31%|███       | 386/1250 [02:15<04:39,  3.09it/s]
Training 1/1 epoch (loss 1.5222):  31%|███       | 386/1250 [02:16<04:39,  3.09it/s]
Training 1/1 epoch (loss 1.5222):  31%|███       | 387/1250 [02:16<04:30,  3.19it/s]
Training 1/1 epoch (loss 1.6192):  31%|███       | 387/1250 [02:16<04:30,  3.19it/s]
Training 1/1 epoch (loss 1.6192):  31%|███       | 388/1250 [02:16<04:38,  3.09it/s]
Training 1/1 epoch (loss 1.6874):  31%|███       | 388/1250 [02:16<04:38,  3.09it/s]
Training 1/1 epoch (loss 1.6874):  31%|███       | 389/1250 [02:16<04:37,  3.10it/s]
Training 1/1 epoch (loss 1.6277):  31%|███       | 389/1250 [02:16<04:37,  3.10it/s]
Training 1/1 epoch (loss 1.6277):  31%|███       | 390/1250 [02:16<04:32,  3.15it/s]
Training 1/1 epoch (loss 1.5674):  31%|███       | 390/1250 [02:17<04:32,  3.15it/s]
Training 1/1 epoch (loss 1.5674):  31%|███▏      | 391/1250 [02:17<04:25,  3.24it/s]
Training 1/1 epoch (loss 1.6080):  31%|███▏      | 391/1250 [02:17<04:25,  3.24it/s]
Training 1/1 epoch (loss 1.6080):  31%|███▏      | 392/1250 [02:17<04:30,  3.17it/s]
Training 1/1 epoch (loss 1.5808):  31%|███▏      | 392/1250 [02:17<04:30,  3.17it/s]
Training 1/1 epoch (loss 1.5808):  31%|███▏      | 393/1250 [02:17<04:32,  3.15it/s]
Training 1/1 epoch (loss 1.6048):  31%|███▏      | 393/1250 [02:18<04:32,  3.15it/s]
Training 1/1 epoch (loss 1.6048):  32%|███▏      | 394/1250 [02:18<04:35,  3.11it/s]
Training 1/1 epoch (loss 1.4598):  32%|███▏      | 394/1250 [02:18<04:35,  3.11it/s]
Training 1/1 epoch (loss 1.4598):  32%|███▏      | 395/1250 [02:18<04:48,  2.96it/s]
Training 1/1 epoch (loss 1.5735):  32%|███▏      | 395/1250 [02:18<04:48,  2.96it/s]
Training 1/1 epoch (loss 1.5735):  32%|███▏      | 396/1250 [02:18<04:46,  2.98it/s]
Training 1/1 epoch (loss 1.6423):  32%|███▏      | 396/1250 [02:19<04:46,  2.98it/s]
Training 1/1 epoch (loss 1.6423):  32%|███▏      | 397/1250 [02:19<04:50,  2.94it/s]
Training 1/1 epoch (loss 1.5781):  32%|███▏      | 397/1250 [02:19<04:50,  2.94it/s]
Training 1/1 epoch (loss 1.5781):  32%|███▏      | 398/1250 [02:19<04:36,  3.08it/s]
Training 1/1 epoch (loss 1.5440):  32%|███▏      | 398/1250 [02:19<04:36,  3.08it/s]
Training 1/1 epoch (loss 1.5440):  32%|███▏      | 399/1250 [02:19<04:38,  3.06it/s]
Training 1/1 epoch (loss 1.4194):  32%|███▏      | 399/1250 [02:20<04:38,  3.06it/s]
Training 1/1 epoch (loss 1.4194):  32%|███▏      | 400/1250 [02:20<04:59,  2.84it/s]
Training 1/1 epoch (loss 1.5606):  32%|███▏      | 400/1250 [02:20<04:59,  2.84it/s]
Training 1/1 epoch (loss 1.5606):  32%|███▏      | 401/1250 [02:20<04:56,  2.87it/s]
Training 1/1 epoch (loss 1.5525):  32%|███▏      | 401/1250 [02:20<04:56,  2.87it/s]
Training 1/1 epoch (loss 1.5525):  32%|███▏      | 402/1250 [02:20<04:41,  3.01it/s]
Training 1/1 epoch (loss 1.5812):  32%|███▏      | 402/1250 [02:21<04:41,  3.01it/s]
Training 1/1 epoch (loss 1.5812):  32%|███▏      | 403/1250 [02:21<04:34,  3.09it/s]
Training 1/1 epoch (loss 1.5651):  32%|███▏      | 403/1250 [02:21<04:34,  3.09it/s]
Training 1/1 epoch (loss 1.5651):  32%|███▏      | 404/1250 [02:21<04:30,  3.12it/s]
Training 1/1 epoch (loss 1.5520):  32%|███▏      | 404/1250 [02:21<04:30,  3.12it/s]
Training 1/1 epoch (loss 1.5520):  32%|███▏      | 405/1250 [02:21<04:28,  3.15it/s]
Training 1/1 epoch (loss 1.5062):  32%|███▏      | 405/1250 [02:22<04:28,  3.15it/s]
Training 1/1 epoch (loss 1.5062):  32%|███▏      | 406/1250 [02:22<04:30,  3.13it/s]
Training 1/1 epoch (loss 1.6264):  32%|███▏      | 406/1250 [02:22<04:30,  3.13it/s]
Training 1/1 epoch (loss 1.6264):  33%|███▎      | 407/1250 [02:22<04:34,  3.07it/s]
Training 1/1 epoch (loss 1.7141):  33%|███▎      | 407/1250 [02:22<04:34,  3.07it/s]
Training 1/1 epoch (loss 1.7141):  33%|███▎      | 408/1250 [02:22<04:37,  3.03it/s]
Training 1/1 epoch (loss 1.4806):  33%|███▎      | 408/1250 [02:23<04:37,  3.03it/s]
Training 1/1 epoch (loss 1.4806):  33%|███▎      | 409/1250 [02:23<04:32,  3.09it/s]
Training 1/1 epoch (loss 1.5548):  33%|███▎      | 409/1250 [02:23<04:32,  3.09it/s]
Training 1/1 epoch (loss 1.5548):  33%|███▎      | 410/1250 [02:23<04:29,  3.12it/s]
Training 1/1 epoch (loss 1.6440):  33%|███▎      | 410/1250 [02:23<04:29,  3.12it/s]
Training 1/1 epoch (loss 1.6440):  33%|███▎      | 411/1250 [02:23<04:23,  3.18it/s]
Training 1/1 epoch (loss 1.6685):  33%|███▎      | 411/1250 [02:24<04:23,  3.18it/s]
Training 1/1 epoch (loss 1.6685):  33%|███▎      | 412/1250 [02:24<04:26,  3.14it/s]
Training 1/1 epoch (loss 1.6321):  33%|███▎      | 412/1250 [02:24<04:26,  3.14it/s]
Training 1/1 epoch (loss 1.6321):  33%|███▎      | 413/1250 [02:24<04:36,  3.03it/s]
Training 1/1 epoch (loss 1.6345):  33%|███▎      | 413/1250 [02:24<04:36,  3.03it/s]
Training 1/1 epoch (loss 1.6345):  33%|███▎      | 414/1250 [02:24<04:29,  3.11it/s]
Training 1/1 epoch (loss 1.5570):  33%|███▎      | 414/1250 [02:25<04:29,  3.11it/s]
Training 1/1 epoch (loss 1.5570):  33%|███▎      | 415/1250 [02:25<04:27,  3.12it/s]
Training 1/1 epoch (loss 1.5400):  33%|███▎      | 415/1250 [02:25<04:27,  3.12it/s]
Training 1/1 epoch (loss 1.5400):  33%|███▎      | 416/1250 [02:25<04:26,  3.13it/s]
Training 1/1 epoch (loss 1.5810):  33%|███▎      | 416/1250 [02:25<04:26,  3.13it/s]
Training 1/1 epoch (loss 1.5810):  33%|███▎      | 417/1250 [02:25<04:24,  3.15it/s]
Training 1/1 epoch (loss 1.4769):  33%|███▎      | 417/1250 [02:26<04:24,  3.15it/s]
Training 1/1 epoch (loss 1.4769):  33%|███▎      | 418/1250 [02:26<04:20,  3.19it/s]
Training 1/1 epoch (loss 1.6649):  33%|███▎      | 418/1250 [02:26<04:20,  3.19it/s]
Training 1/1 epoch (loss 1.6649):  34%|███▎      | 419/1250 [02:26<04:20,  3.19it/s]
Training 1/1 epoch (loss 1.5848):  34%|███▎      | 419/1250 [02:26<04:20,  3.19it/s]
Training 1/1 epoch (loss 1.5848):  34%|███▎      | 420/1250 [02:26<04:30,  3.07it/s]
Training 1/1 epoch (loss 1.6661):  34%|███▎      | 420/1250 [02:27<04:30,  3.07it/s]
Training 1/1 epoch (loss 1.6661):  34%|███▎      | 421/1250 [02:27<04:22,  3.16it/s]
Training 1/1 epoch (loss 1.7186):  34%|███▎      | 421/1250 [02:27<04:22,  3.16it/s]
Training 1/1 epoch (loss 1.7186):  34%|███▍      | 422/1250 [02:27<04:15,  3.24it/s]
Training 1/1 epoch (loss 1.6724):  34%|███▍      | 422/1250 [02:27<04:15,  3.24it/s]
Training 1/1 epoch (loss 1.6724):  34%|███▍      | 423/1250 [02:27<04:40,  2.94it/s]
Training 1/1 epoch (loss 1.6397):  34%|███▍      | 423/1250 [02:28<04:40,  2.94it/s]
Training 1/1 epoch (loss 1.6397):  34%|███▍      | 424/1250 [02:28<04:39,  2.96it/s]
Training 1/1 epoch (loss 1.7289):  34%|███▍      | 424/1250 [02:28<04:39,  2.96it/s]
Training 1/1 epoch (loss 1.7289):  34%|███▍      | 425/1250 [02:28<04:34,  3.01it/s]
Training 1/1 epoch (loss 1.7364):  34%|███▍      | 425/1250 [02:28<04:34,  3.01it/s]
Training 1/1 epoch (loss 1.7364):  34%|███▍      | 426/1250 [02:28<05:01,  2.73it/s]
Training 1/1 epoch (loss 1.5318):  34%|███▍      | 426/1250 [02:29<05:01,  2.73it/s]
Training 1/1 epoch (loss 1.5318):  34%|███▍      | 427/1250 [02:29<04:47,  2.86it/s]
Training 1/1 epoch (loss 1.6076):  34%|███▍      | 427/1250 [02:29<04:47,  2.86it/s]
Training 1/1 epoch (loss 1.6076):  34%|███▍      | 428/1250 [02:29<04:34,  2.99it/s]
Training 1/1 epoch (loss 1.5975):  34%|███▍      | 428/1250 [02:29<04:34,  2.99it/s]
Training 1/1 epoch (loss 1.5975):  34%|███▍      | 429/1250 [02:29<04:41,  2.91it/s]
Training 1/1 epoch (loss 1.6277):  34%|███▍      | 429/1250 [02:30<04:41,  2.91it/s]
Training 1/1 epoch (loss 1.6277):  34%|███▍      | 430/1250 [02:30<04:49,  2.83it/s]
Training 1/1 epoch (loss 1.5431):  34%|███▍      | 430/1250 [02:30<04:49,  2.83it/s]
Training 1/1 epoch (loss 1.5431):  34%|███▍      | 431/1250 [02:30<04:44,  2.87it/s]
Training 1/1 epoch (loss 1.4651):  34%|███▍      | 431/1250 [02:30<04:44,  2.87it/s]
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Training 1/1 epoch (loss 1.6423):  35%|███▍      | 432/1250 [02:31<04:39,  2.93it/s]
Training 1/1 epoch (loss 1.6423):  35%|███▍      | 433/1250 [02:31<04:32,  2.99it/s]
Training 1/1 epoch (loss 1.5034):  35%|███▍      | 433/1250 [02:31<04:32,  2.99it/s]
Training 1/1 epoch (loss 1.5034):  35%|███▍      | 434/1250 [02:31<04:22,  3.11it/s]
Training 1/1 epoch (loss 1.6181):  35%|███▍      | 434/1250 [02:31<04:22,  3.11it/s]
Training 1/1 epoch (loss 1.6181):  35%|███▍      | 435/1250 [02:31<04:19,  3.13it/s]
Training 1/1 epoch (loss 1.6415):  35%|███▍      | 435/1250 [02:32<04:19,  3.13it/s]
Training 1/1 epoch (loss 1.6415):  35%|███▍      | 436/1250 [02:32<04:22,  3.10it/s]
Training 1/1 epoch (loss 1.4412):  35%|███▍      | 436/1250 [02:32<04:22,  3.10it/s]
Training 1/1 epoch (loss 1.4412):  35%|███▍      | 437/1250 [02:32<04:19,  3.14it/s]
Training 1/1 epoch (loss 1.4939):  35%|███▍      | 437/1250 [02:32<04:19,  3.14it/s]
Training 1/1 epoch (loss 1.4939):  35%|███▌      | 438/1250 [02:32<04:15,  3.18it/s]
Training 1/1 epoch (loss 1.6320):  35%|███▌      | 438/1250 [02:33<04:15,  3.18it/s]
Training 1/1 epoch (loss 1.6320):  35%|███▌      | 439/1250 [02:33<04:15,  3.18it/s]
Training 1/1 epoch (loss 1.6461):  35%|███▌      | 439/1250 [02:33<04:15,  3.18it/s]
Training 1/1 epoch (loss 1.6461):  35%|███▌      | 440/1250 [02:33<04:17,  3.15it/s]
Training 1/1 epoch (loss 1.4778):  35%|███▌      | 440/1250 [02:33<04:17,  3.15it/s]
Training 1/1 epoch (loss 1.4778):  35%|███▌      | 441/1250 [02:33<04:18,  3.13it/s]
Training 1/1 epoch (loss 1.6374):  35%|███▌      | 441/1250 [02:34<04:18,  3.13it/s]
Training 1/1 epoch (loss 1.6374):  35%|███▌      | 442/1250 [02:34<04:17,  3.13it/s]
Training 1/1 epoch (loss 1.4930):  35%|███▌      | 442/1250 [02:34<04:17,  3.13it/s]
Training 1/1 epoch (loss 1.4930):  35%|███▌      | 443/1250 [02:34<04:21,  3.09it/s]
Training 1/1 epoch (loss 1.6086):  35%|███▌      | 443/1250 [02:35<04:21,  3.09it/s]
Training 1/1 epoch (loss 1.6086):  36%|███▌      | 444/1250 [02:35<06:03,  2.22it/s]
Training 1/1 epoch (loss 1.6976):  36%|███▌      | 444/1250 [02:35<06:03,  2.22it/s]
Training 1/1 epoch (loss 1.6976):  36%|███▌      | 445/1250 [02:35<05:25,  2.47it/s]
Training 1/1 epoch (loss 1.5860):  36%|███▌      | 445/1250 [02:35<05:25,  2.47it/s]
Training 1/1 epoch (loss 1.5860):  36%|███▌      | 446/1250 [02:35<05:02,  2.66it/s]
Training 1/1 epoch (loss 1.5478):  36%|███▌      | 446/1250 [02:36<05:02,  2.66it/s]
Training 1/1 epoch (loss 1.5478):  36%|███▌      | 447/1250 [02:36<04:54,  2.73it/s]
Training 1/1 epoch (loss 1.5977):  36%|███▌      | 447/1250 [02:36<04:54,  2.73it/s]
Training 1/1 epoch (loss 1.5977):  36%|███▌      | 448/1250 [02:36<04:48,  2.78it/s]
Training 1/1 epoch (loss 1.5446):  36%|███▌      | 448/1250 [02:36<04:48,  2.78it/s]
Training 1/1 epoch (loss 1.5446):  36%|███▌      | 449/1250 [02:36<04:49,  2.77it/s]
Training 1/1 epoch (loss 1.6645):  36%|███▌      | 449/1250 [02:37<04:49,  2.77it/s]
Training 1/1 epoch (loss 1.6645):  36%|███▌      | 450/1250 [02:37<04:33,  2.93it/s]
Training 1/1 epoch (loss 1.6707):  36%|███▌      | 450/1250 [02:37<04:33,  2.93it/s]
Training 1/1 epoch (loss 1.6707):  36%|███▌      | 451/1250 [02:37<04:29,  2.96it/s]
Training 1/1 epoch (loss 1.6320):  36%|███▌      | 451/1250 [02:37<04:29,  2.96it/s]
Training 1/1 epoch (loss 1.6320):  36%|███▌      | 452/1250 [02:37<04:21,  3.05it/s]
Training 1/1 epoch (loss 1.6627):  36%|███▌      | 452/1250 [02:37<04:21,  3.05it/s]
Training 1/1 epoch (loss 1.6627):  36%|███▌      | 453/1250 [02:37<04:19,  3.07it/s]
Training 1/1 epoch (loss 1.6500):  36%|███▌      | 453/1250 [02:38<04:19,  3.07it/s]
Training 1/1 epoch (loss 1.6500):  36%|███▋      | 454/1250 [02:38<04:24,  3.01it/s]
Training 1/1 epoch (loss 1.6804):  36%|███▋      | 454/1250 [02:38<04:24,  3.01it/s]
Training 1/1 epoch (loss 1.6804):  36%|███▋      | 455/1250 [02:38<04:24,  3.00it/s]
Training 1/1 epoch (loss 1.5469):  36%|███▋      | 455/1250 [02:39<04:24,  3.00it/s]
Training 1/1 epoch (loss 1.5469):  36%|███▋      | 456/1250 [02:39<04:23,  3.01it/s]
Training 1/1 epoch (loss 1.5104):  36%|███▋      | 456/1250 [02:39<04:23,  3.01it/s]
Training 1/1 epoch (loss 1.5104):  37%|███▋      | 457/1250 [02:39<04:16,  3.09it/s]
Training 1/1 epoch (loss 1.5762):  37%|███▋      | 457/1250 [02:39<04:16,  3.09it/s]
Training 1/1 epoch (loss 1.5762):  37%|███▋      | 458/1250 [02:39<04:14,  3.11it/s]
Training 1/1 epoch (loss 1.6359):  37%|███▋      | 458/1250 [02:39<04:14,  3.11it/s]
Training 1/1 epoch (loss 1.6359):  37%|███▋      | 459/1250 [02:39<04:15,  3.10it/s]
Training 1/1 epoch (loss 1.5895):  37%|███▋      | 459/1250 [02:40<04:15,  3.10it/s]
Training 1/1 epoch (loss 1.5895):  37%|███▋      | 460/1250 [02:40<04:19,  3.05it/s]
Training 1/1 epoch (loss 1.5720):  37%|███▋      | 460/1250 [02:40<04:19,  3.05it/s]
Training 1/1 epoch (loss 1.5720):  37%|███▋      | 461/1250 [02:40<04:37,  2.84it/s]
Training 1/1 epoch (loss 1.5889):  37%|███▋      | 461/1250 [02:41<04:37,  2.84it/s]
Training 1/1 epoch (loss 1.5889):  37%|███▋      | 462/1250 [02:41<04:28,  2.93it/s]
Training 1/1 epoch (loss 1.5692):  37%|███▋      | 462/1250 [02:41<04:28,  2.93it/s]
Training 1/1 epoch (loss 1.5692):  37%|███▋      | 463/1250 [02:41<04:21,  3.01it/s]
Training 1/1 epoch (loss 1.5641):  37%|███▋      | 463/1250 [02:41<04:21,  3.01it/s]
Training 1/1 epoch (loss 1.5641):  37%|███▋      | 464/1250 [02:41<04:17,  3.05it/s]
Training 1/1 epoch (loss 1.5356):  37%|███▋      | 464/1250 [02:41<04:17,  3.05it/s]
Training 1/1 epoch (loss 1.5356):  37%|███▋      | 465/1250 [02:41<04:19,  3.03it/s]
Training 1/1 epoch (loss 1.5776):  37%|███▋      | 465/1250 [02:42<04:19,  3.03it/s]
Training 1/1 epoch (loss 1.5776):  37%|███▋      | 466/1250 [02:42<04:14,  3.08it/s]
Training 1/1 epoch (loss 1.5931):  37%|███▋      | 466/1250 [02:42<04:14,  3.08it/s]
Training 1/1 epoch (loss 1.5931):  37%|███▋      | 467/1250 [02:42<04:17,  3.04it/s]
Training 1/1 epoch (loss 1.5348):  37%|███▋      | 467/1250 [02:42<04:17,  3.04it/s]
Training 1/1 epoch (loss 1.5348):  37%|███▋      | 468/1250 [02:42<04:13,  3.09it/s]
Training 1/1 epoch (loss 1.5332):  37%|███▋      | 468/1250 [02:43<04:13,  3.09it/s]
Training 1/1 epoch (loss 1.5332):  38%|███▊      | 469/1250 [02:43<04:09,  3.13it/s]
Training 1/1 epoch (loss 1.4508):  38%|███▊      | 469/1250 [02:43<04:09,  3.13it/s]
Training 1/1 epoch (loss 1.4508):  38%|███▊      | 470/1250 [02:43<04:04,  3.19it/s]
Training 1/1 epoch (loss 1.4672):  38%|███▊      | 470/1250 [02:43<04:04,  3.19it/s]
Training 1/1 epoch (loss 1.4672):  38%|███▊      | 471/1250 [02:43<04:09,  3.12it/s]
Training 1/1 epoch (loss 1.6180):  38%|███▊      | 471/1250 [02:44<04:09,  3.12it/s]
Training 1/1 epoch (loss 1.6180):  38%|███▊      | 472/1250 [02:44<04:13,  3.07it/s]
Training 1/1 epoch (loss 1.5695):  38%|███▊      | 472/1250 [02:44<04:13,  3.07it/s]
Training 1/1 epoch (loss 1.5695):  38%|███▊      | 473/1250 [02:44<04:15,  3.04it/s]
Training 1/1 epoch (loss 1.5001):  38%|███▊      | 473/1250 [02:44<04:15,  3.04it/s]
Training 1/1 epoch (loss 1.5001):  38%|███▊      | 474/1250 [02:44<04:16,  3.02it/s]
Training 1/1 epoch (loss 1.4415):  38%|███▊      | 474/1250 [02:45<04:16,  3.02it/s]
Training 1/1 epoch (loss 1.4415):  38%|███▊      | 475/1250 [02:45<04:30,  2.86it/s]
Training 1/1 epoch (loss 1.5828):  38%|███▊      | 475/1250 [02:45<04:30,  2.86it/s]
Training 1/1 epoch (loss 1.5828):  38%|███▊      | 476/1250 [02:45<04:29,  2.87it/s]
Training 1/1 epoch (loss 1.5718):  38%|███▊      | 476/1250 [02:46<04:29,  2.87it/s]
Training 1/1 epoch (loss 1.5718):  38%|███▊      | 477/1250 [02:46<04:34,  2.82it/s]
Training 1/1 epoch (loss 1.6308):  38%|███▊      | 477/1250 [02:46<04:34,  2.82it/s]
Training 1/1 epoch (loss 1.6308):  38%|███▊      | 478/1250 [02:46<04:26,  2.89it/s]
Training 1/1 epoch (loss 1.5572):  38%|███▊      | 478/1250 [02:46<04:26,  2.89it/s]
Training 1/1 epoch (loss 1.5572):  38%|███▊      | 479/1250 [02:46<04:30,  2.85it/s]
Training 1/1 epoch (loss 1.5445):  38%|███▊      | 479/1250 [02:47<04:30,  2.85it/s]
Training 1/1 epoch (loss 1.5445):  38%|███▊      | 480/1250 [02:47<04:24,  2.91it/s]
Training 1/1 epoch (loss 1.4971):  38%|███▊      | 480/1250 [02:47<04:24,  2.91it/s]
Training 1/1 epoch (loss 1.4971):  38%|███▊      | 481/1250 [02:47<04:16,  3.00it/s]
Training 1/1 epoch (loss 1.4669):  38%|███▊      | 481/1250 [02:47<04:16,  3.00it/s]
Training 1/1 epoch (loss 1.4669):  39%|███▊      | 482/1250 [02:47<04:10,  3.06it/s]
Training 1/1 epoch (loss 1.5631):  39%|███▊      | 482/1250 [02:47<04:10,  3.06it/s]
Training 1/1 epoch (loss 1.5631):  39%|███▊      | 483/1250 [02:47<04:10,  3.06it/s]
Training 1/1 epoch (loss 1.5626):  39%|███▊      | 483/1250 [02:48<04:10,  3.06it/s]
Training 1/1 epoch (loss 1.5626):  39%|███▊      | 484/1250 [02:48<04:10,  3.06it/s]
Training 1/1 epoch (loss 1.6418):  39%|███▊      | 484/1250 [02:48<04:10,  3.06it/s]
Training 1/1 epoch (loss 1.6418):  39%|███▉      | 485/1250 [02:48<04:13,  3.01it/s]
Training 1/1 epoch (loss 1.5728):  39%|███▉      | 485/1250 [02:48<04:13,  3.01it/s]
Training 1/1 epoch (loss 1.5728):  39%|███▉      | 486/1250 [02:48<04:07,  3.09it/s]
Training 1/1 epoch (loss 1.4971):  39%|███▉      | 486/1250 [02:49<04:07,  3.09it/s]
Training 1/1 epoch (loss 1.4971):  39%|███▉      | 487/1250 [02:49<04:04,  3.12it/s]
Training 1/1 epoch (loss 1.6212):  39%|███▉      | 487/1250 [02:49<04:04,  3.12it/s]
Training 1/1 epoch (loss 1.6212):  39%|███▉      | 488/1250 [02:49<04:12,  3.02it/s]
Training 1/1 epoch (loss 1.4947):  39%|███▉      | 488/1250 [02:49<04:12,  3.02it/s]
Training 1/1 epoch (loss 1.4947):  39%|███▉      | 489/1250 [02:49<04:11,  3.02it/s]
Training 1/1 epoch (loss 1.6791):  39%|███▉      | 489/1250 [02:50<04:11,  3.02it/s]
Training 1/1 epoch (loss 1.6791):  39%|███▉      | 490/1250 [02:50<04:08,  3.05it/s]
Training 1/1 epoch (loss 1.5923):  39%|███▉      | 490/1250 [02:50<04:08,  3.05it/s]
Training 1/1 epoch (loss 1.5923):  39%|███▉      | 491/1250 [02:50<04:50,  2.61it/s]
Training 1/1 epoch (loss 1.5701):  39%|███▉      | 491/1250 [02:51<04:50,  2.61it/s]
Training 1/1 epoch (loss 1.5701):  39%|███▉      | 492/1250 [02:51<04:45,  2.66it/s]
Training 1/1 epoch (loss 1.5429):  39%|███▉      | 492/1250 [02:51<04:45,  2.66it/s]
Training 1/1 epoch (loss 1.5429):  39%|███▉      | 493/1250 [02:51<04:40,  2.70it/s]
Training 1/1 epoch (loss 1.5094):  39%|███▉      | 493/1250 [02:51<04:40,  2.70it/s]
Training 1/1 epoch (loss 1.5094):  40%|███▉      | 494/1250 [02:51<04:32,  2.77it/s]
Training 1/1 epoch (loss 1.5811):  40%|███▉      | 494/1250 [02:52<04:32,  2.77it/s]
Training 1/1 epoch (loss 1.5811):  40%|███▉      | 495/1250 [02:52<04:32,  2.77it/s]
Training 1/1 epoch (loss 1.6165):  40%|███▉      | 495/1250 [02:52<04:32,  2.77it/s]
Training 1/1 epoch (loss 1.6165):  40%|███▉      | 496/1250 [02:52<04:42,  2.67it/s]
Training 1/1 epoch (loss 1.5320):  40%|███▉      | 496/1250 [02:52<04:42,  2.67it/s]
Training 1/1 epoch (loss 1.5320):  40%|███▉      | 497/1250 [02:52<04:34,  2.74it/s]
Training 1/1 epoch (loss 1.5143):  40%|███▉      | 497/1250 [02:53<04:34,  2.74it/s]
Training 1/1 epoch (loss 1.5143):  40%|███▉      | 498/1250 [02:53<04:19,  2.90it/s]
Training 1/1 epoch (loss 1.6379):  40%|███▉      | 498/1250 [02:53<04:19,  2.90it/s]
Training 1/1 epoch (loss 1.6379):  40%|███▉      | 499/1250 [02:53<04:17,  2.92it/s]
Training 1/1 epoch (loss 1.5052):  40%|███▉      | 499/1250 [02:53<04:17,  2.92it/s]
Training 1/1 epoch (loss 1.5052):  40%|████      | 500/1250 [02:53<04:07,  3.03it/s]
Training 1/1 epoch (loss 1.5211):  40%|████      | 500/1250 [02:54<04:07,  3.03it/s]
Training 1/1 epoch (loss 1.5211):  40%|████      | 501/1250 [02:54<04:03,  3.08it/s]
Training 1/1 epoch (loss 1.5569):  40%|████      | 501/1250 [02:54<04:03,  3.08it/s]
Training 1/1 epoch (loss 1.5569):  40%|████      | 502/1250 [02:54<04:01,  3.10it/s]
Training 1/1 epoch (loss 1.4826):  40%|████      | 502/1250 [02:54<04:01,  3.10it/s]
Training 1/1 epoch (loss 1.4826):  40%|████      | 503/1250 [02:54<04:04,  3.06it/s]
Training 1/1 epoch (loss 1.6105):  40%|████      | 503/1250 [02:55<04:04,  3.06it/s]
Training 1/1 epoch (loss 1.6105):  40%|████      | 504/1250 [02:55<04:08,  3.00it/s]
Training 1/1 epoch (loss 1.5121):  40%|████      | 504/1250 [02:55<04:08,  3.00it/s]
Training 1/1 epoch (loss 1.5121):  40%|████      | 505/1250 [02:55<03:59,  3.11it/s]
Training 1/1 epoch (loss 1.4784):  40%|████      | 505/1250 [02:55<03:59,  3.11it/s]
Training 1/1 epoch (loss 1.4784):  40%|████      | 506/1250 [02:55<04:03,  3.05it/s]
Training 1/1 epoch (loss 1.5300):  40%|████      | 506/1250 [02:56<04:03,  3.05it/s]
Training 1/1 epoch (loss 1.5300):  41%|████      | 507/1250 [02:56<04:05,  3.02it/s]
Training 1/1 epoch (loss 1.5866):  41%|████      | 507/1250 [02:56<04:05,  3.02it/s]
Training 1/1 epoch (loss 1.5866):  41%|████      | 508/1250 [02:56<04:02,  3.05it/s]
Training 1/1 epoch (loss 1.5370):  41%|████      | 508/1250 [02:56<04:02,  3.05it/s]
Training 1/1 epoch (loss 1.5370):  41%|████      | 509/1250 [02:56<04:06,  3.01it/s]
Training 1/1 epoch (loss 1.6328):  41%|████      | 509/1250 [02:57<04:06,  3.01it/s]
Training 1/1 epoch (loss 1.6328):  41%|████      | 510/1250 [02:57<03:59,  3.09it/s]
Training 1/1 epoch (loss 1.6216):  41%|████      | 510/1250 [02:57<03:59,  3.09it/s]
Training 1/1 epoch (loss 1.6216):  41%|████      | 511/1250 [02:57<03:54,  3.15it/s]
Training 1/1 epoch (loss 1.6231):  41%|████      | 511/1250 [02:57<03:54,  3.15it/s]
Training 1/1 epoch (loss 1.6231):  41%|████      | 512/1250 [02:57<03:55,  3.13it/s]
Training 1/1 epoch (loss 1.5906):  41%|████      | 512/1250 [02:58<03:55,  3.13it/s]
Training 1/1 epoch (loss 1.5906):  41%|████      | 513/1250 [02:58<04:06,  2.99it/s]
Training 1/1 epoch (loss 1.6143):  41%|████      | 513/1250 [02:58<04:06,  2.99it/s]
Training 1/1 epoch (loss 1.6143):  41%|████      | 514/1250 [02:58<03:59,  3.07it/s]
Training 1/1 epoch (loss 1.5638):  41%|████      | 514/1250 [02:58<03:59,  3.07it/s]
Training 1/1 epoch (loss 1.5638):  41%|████      | 515/1250 [02:58<04:04,  3.01it/s]
Training 1/1 epoch (loss 1.4185):  41%|████      | 515/1250 [02:59<04:04,  3.01it/s]
Training 1/1 epoch (loss 1.4185):  41%|████▏     | 516/1250 [02:59<03:57,  3.09it/s]
Training 1/1 epoch (loss 1.4724):  41%|████▏     | 516/1250 [02:59<03:57,  3.09it/s]
Training 1/1 epoch (loss 1.4724):  41%|████▏     | 517/1250 [02:59<03:53,  3.13it/s]
Training 1/1 epoch (loss 1.6071):  41%|████▏     | 517/1250 [02:59<03:53,  3.13it/s]
Training 1/1 epoch (loss 1.6071):  41%|████▏     | 518/1250 [02:59<03:49,  3.19it/s]
Training 1/1 epoch (loss 1.6825):  41%|████▏     | 518/1250 [03:00<03:49,  3.19it/s]
Training 1/1 epoch (loss 1.6825):  42%|████▏     | 519/1250 [03:00<04:12,  2.89it/s]
Training 1/1 epoch (loss 1.5490):  42%|████▏     | 519/1250 [03:00<04:12,  2.89it/s]
Training 1/1 epoch (loss 1.5490):  42%|████▏     | 520/1250 [03:00<04:06,  2.96it/s]
Training 1/1 epoch (loss 1.6199):  42%|████▏     | 520/1250 [03:00<04:06,  2.96it/s]
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Training 1/1 epoch (loss 1.5604):  42%|████▏     | 521/1250 [03:01<04:06,  2.95it/s]
Training 1/1 epoch (loss 1.5604):  42%|████▏     | 522/1250 [03:01<04:12,  2.88it/s]
Training 1/1 epoch (loss 1.6412):  42%|████▏     | 522/1250 [03:01<04:12,  2.88it/s]
Training 1/1 epoch (loss 1.6412):  42%|████▏     | 523/1250 [03:01<04:26,  2.73it/s]
Training 1/1 epoch (loss 1.4999):  42%|████▏     | 523/1250 [03:01<04:26,  2.73it/s]
Training 1/1 epoch (loss 1.4999):  42%|████▏     | 524/1250 [03:01<04:30,  2.69it/s]
Training 1/1 epoch (loss 1.5667):  42%|████▏     | 524/1250 [03:02<04:30,  2.69it/s]
Training 1/1 epoch (loss 1.5667):  42%|████▏     | 525/1250 [03:02<04:41,  2.57it/s]
Training 1/1 epoch (loss 1.6243):  42%|████▏     | 525/1250 [03:02<04:41,  2.57it/s]
Training 1/1 epoch (loss 1.6243):  42%|████▏     | 526/1250 [03:02<04:55,  2.45it/s]
Training 1/1 epoch (loss 1.5905):  42%|████▏     | 526/1250 [03:03<04:55,  2.45it/s]
Training 1/1 epoch (loss 1.5905):  42%|████▏     | 527/1250 [03:03<04:54,  2.46it/s]
Training 1/1 epoch (loss 1.6059):  42%|████▏     | 527/1250 [03:03<04:54,  2.46it/s]
Training 1/1 epoch (loss 1.6059):  42%|████▏     | 528/1250 [03:03<04:57,  2.43it/s]
Training 1/1 epoch (loss 1.5396):  42%|████▏     | 528/1250 [03:04<04:57,  2.43it/s]
Training 1/1 epoch (loss 1.5396):  42%|████▏     | 529/1250 [03:04<05:00,  2.40it/s]
Training 1/1 epoch (loss 1.6206):  42%|████▏     | 529/1250 [03:04<05:00,  2.40it/s]
Training 1/1 epoch (loss 1.6206):  42%|████▏     | 530/1250 [03:04<05:05,  2.36it/s]
Training 1/1 epoch (loss 1.5264):  42%|████▏     | 530/1250 [03:04<05:05,  2.36it/s]
Training 1/1 epoch (loss 1.5264):  42%|████▏     | 531/1250 [03:04<05:04,  2.36it/s]
Training 1/1 epoch (loss 1.4780):  42%|████▏     | 531/1250 [03:05<05:04,  2.36it/s]
Training 1/1 epoch (loss 1.4780):  43%|████▎     | 532/1250 [03:05<05:02,  2.38it/s]
Training 1/1 epoch (loss 1.4864):  43%|████▎     | 532/1250 [03:05<05:02,  2.38it/s]
Training 1/1 epoch (loss 1.4864):  43%|████▎     | 533/1250 [03:05<04:57,  2.41it/s]
Training 1/1 epoch (loss 1.6297):  43%|████▎     | 533/1250 [03:06<04:57,  2.41it/s]
Training 1/1 epoch (loss 1.6297):  43%|████▎     | 534/1250 [03:06<04:53,  2.44it/s]
Training 1/1 epoch (loss 1.5705):  43%|████▎     | 534/1250 [03:06<04:53,  2.44it/s]
Training 1/1 epoch (loss 1.5705):  43%|████▎     | 535/1250 [03:06<05:04,  2.35it/s]
Training 1/1 epoch (loss 1.5919):  43%|████▎     | 535/1250 [03:07<05:04,  2.35it/s]
Training 1/1 epoch (loss 1.5919):  43%|████▎     | 536/1250 [03:07<05:06,  2.33it/s]
Training 1/1 epoch (loss 1.4289):  43%|████▎     | 536/1250 [03:07<05:06,  2.33it/s]
Training 1/1 epoch (loss 1.4289):  43%|████▎     | 537/1250 [03:07<04:57,  2.39it/s]
Training 1/1 epoch (loss 1.5196):  43%|████▎     | 537/1250 [03:07<04:57,  2.39it/s]
Training 1/1 epoch (loss 1.5196):  43%|████▎     | 538/1250 [03:07<04:38,  2.56it/s]
Training 1/1 epoch (loss 1.4980):  43%|████▎     | 538/1250 [03:08<04:38,  2.56it/s]
Training 1/1 epoch (loss 1.4980):  43%|████▎     | 539/1250 [03:08<04:22,  2.70it/s]
Training 1/1 epoch (loss 1.6320):  43%|████▎     | 539/1250 [03:08<04:22,  2.70it/s]
Training 1/1 epoch (loss 1.6320):  43%|████▎     | 540/1250 [03:08<04:19,  2.74it/s]
Training 1/1 epoch (loss 1.5796):  43%|████▎     | 540/1250 [03:08<04:19,  2.74it/s]
Training 1/1 epoch (loss 1.5796):  43%|████▎     | 541/1250 [03:08<04:20,  2.72it/s]
Training 1/1 epoch (loss 1.5933):  43%|████▎     | 541/1250 [03:09<04:20,  2.72it/s]
Training 1/1 epoch (loss 1.5933):  43%|████▎     | 542/1250 [03:09<04:16,  2.76it/s]
Training 1/1 epoch (loss 1.5705):  43%|████▎     | 542/1250 [03:09<04:16,  2.76it/s]
Training 1/1 epoch (loss 1.5705):  43%|████▎     | 543/1250 [03:09<04:04,  2.89it/s]
Training 1/1 epoch (loss 1.6099):  43%|████▎     | 543/1250 [03:09<04:04,  2.89it/s]
Training 1/1 epoch (loss 1.6099):  44%|████▎     | 544/1250 [03:09<03:58,  2.95it/s]
Training 1/1 epoch (loss 1.5870):  44%|████▎     | 544/1250 [03:10<03:58,  2.95it/s]
Training 1/1 epoch (loss 1.5870):  44%|████▎     | 545/1250 [03:10<04:07,  2.85it/s]
Training 1/1 epoch (loss 1.4679):  44%|████▎     | 545/1250 [03:10<04:07,  2.85it/s]
Training 1/1 epoch (loss 1.4679):  44%|████▎     | 546/1250 [03:10<04:02,  2.90it/s]
Training 1/1 epoch (loss 1.5485):  44%|████▎     | 546/1250 [03:10<04:02,  2.90it/s]
Training 1/1 epoch (loss 1.5485):  44%|████▍     | 547/1250 [03:10<04:00,  2.93it/s]
Training 1/1 epoch (loss 1.5745):  44%|████▍     | 547/1250 [03:11<04:00,  2.93it/s]
Training 1/1 epoch (loss 1.5745):  44%|████▍     | 548/1250 [03:11<03:56,  2.97it/s]
Training 1/1 epoch (loss 1.5693):  44%|████▍     | 548/1250 [03:11<03:56,  2.97it/s]
Training 1/1 epoch (loss 1.5693):  44%|████▍     | 549/1250 [03:11<03:59,  2.93it/s]
Training 1/1 epoch (loss 1.4975):  44%|████▍     | 549/1250 [03:11<03:59,  2.93it/s]
Training 1/1 epoch (loss 1.4975):  44%|████▍     | 550/1250 [03:11<04:00,  2.91it/s]
Training 1/1 epoch (loss 1.5892):  44%|████▍     | 550/1250 [03:12<04:00,  2.91it/s]
Training 1/1 epoch (loss 1.5892):  44%|████▍     | 551/1250 [03:12<04:07,  2.83it/s]
Training 1/1 epoch (loss 1.5555):  44%|████▍     | 551/1250 [03:12<04:07,  2.83it/s]
Training 1/1 epoch (loss 1.5555):  44%|████▍     | 552/1250 [03:12<04:05,  2.85it/s]
Training 1/1 epoch (loss 1.3951):  44%|████▍     | 552/1250 [03:12<04:05,  2.85it/s]
Training 1/1 epoch (loss 1.3951):  44%|████▍     | 553/1250 [03:12<03:57,  2.94it/s]
Training 1/1 epoch (loss 1.5651):  44%|████▍     | 553/1250 [03:13<03:57,  2.94it/s]
Training 1/1 epoch (loss 1.5651):  44%|████▍     | 554/1250 [03:13<03:50,  3.02it/s]
Training 1/1 epoch (loss 1.5935):  44%|████▍     | 554/1250 [03:13<03:50,  3.02it/s]
Training 1/1 epoch (loss 1.5935):  44%|████▍     | 555/1250 [03:13<03:45,  3.08it/s]
Training 1/1 epoch (loss 1.6183):  44%|████▍     | 555/1250 [03:13<03:45,  3.08it/s]
Training 1/1 epoch (loss 1.6183):  44%|████▍     | 556/1250 [03:13<03:38,  3.17it/s]
Training 1/1 epoch (loss 1.6070):  44%|████▍     | 556/1250 [03:14<03:38,  3.17it/s]
Training 1/1 epoch (loss 1.6070):  45%|████▍     | 557/1250 [03:14<03:37,  3.19it/s]
Training 1/1 epoch (loss 1.5314):  45%|████▍     | 557/1250 [03:14<03:37,  3.19it/s]
Training 1/1 epoch (loss 1.5314):  45%|████▍     | 558/1250 [03:14<03:39,  3.16it/s]
Training 1/1 epoch (loss 1.5149):  45%|████▍     | 558/1250 [03:14<03:39,  3.16it/s]
Training 1/1 epoch (loss 1.5149):  45%|████▍     | 559/1250 [03:14<03:42,  3.10it/s]
Training 1/1 epoch (loss 1.5681):  45%|████▍     | 559/1250 [03:15<03:42,  3.10it/s]
Training 1/1 epoch (loss 1.5681):  45%|████▍     | 560/1250 [03:15<03:50,  2.99it/s]
Training 1/1 epoch (loss 1.6535):  45%|████▍     | 560/1250 [03:15<03:50,  2.99it/s]
Training 1/1 epoch (loss 1.6535):  45%|████▍     | 561/1250 [03:15<03:46,  3.04it/s]
Training 1/1 epoch (loss 1.5790):  45%|████▍     | 561/1250 [03:15<03:46,  3.04it/s]
Training 1/1 epoch (loss 1.5790):  45%|████▍     | 562/1250 [03:15<03:40,  3.12it/s]
Training 1/1 epoch (loss 1.5462):  45%|████▍     | 562/1250 [03:16<03:40,  3.12it/s]
Training 1/1 epoch (loss 1.5462):  45%|████▌     | 563/1250 [03:16<03:39,  3.13it/s]
Training 1/1 epoch (loss 1.6233):  45%|████▌     | 563/1250 [03:16<03:39,  3.13it/s]
Training 1/1 epoch (loss 1.6233):  45%|████▌     | 564/1250 [03:16<03:39,  3.13it/s]
Training 1/1 epoch (loss 1.5984):  45%|████▌     | 564/1250 [03:16<03:39,  3.13it/s]
Training 1/1 epoch (loss 1.5984):  45%|████▌     | 565/1250 [03:16<03:42,  3.08it/s]
Training 1/1 epoch (loss 1.5777):  45%|████▌     | 565/1250 [03:17<03:42,  3.08it/s]
Training 1/1 epoch (loss 1.5777):  45%|████▌     | 566/1250 [03:17<03:40,  3.10it/s]
Training 1/1 epoch (loss 1.5382):  45%|████▌     | 566/1250 [03:17<03:40,  3.10it/s]
Training 1/1 epoch (loss 1.5382):  45%|████▌     | 567/1250 [03:17<03:35,  3.18it/s]
Training 1/1 epoch (loss 1.5715):  45%|████▌     | 567/1250 [03:17<03:35,  3.18it/s]
Training 1/1 epoch (loss 1.5715):  45%|████▌     | 568/1250 [03:17<03:40,  3.09it/s]
Training 1/1 epoch (loss 1.5353):  45%|████▌     | 568/1250 [03:18<03:40,  3.09it/s]
Training 1/1 epoch (loss 1.5353):  46%|████▌     | 569/1250 [03:18<03:45,  3.02it/s]
Training 1/1 epoch (loss 1.5787):  46%|████▌     | 569/1250 [03:18<03:45,  3.02it/s]
Training 1/1 epoch (loss 1.5787):  46%|████▌     | 570/1250 [03:18<03:48,  2.98it/s]
Training 1/1 epoch (loss 1.4551):  46%|████▌     | 570/1250 [03:18<03:48,  2.98it/s]
Training 1/1 epoch (loss 1.4551):  46%|████▌     | 571/1250 [03:18<03:43,  3.04it/s]
Training 1/1 epoch (loss 1.6713):  46%|████▌     | 571/1250 [03:19<03:43,  3.04it/s]
Training 1/1 epoch (loss 1.6713):  46%|████▌     | 572/1250 [03:19<03:39,  3.09it/s]
Training 1/1 epoch (loss 1.6150):  46%|████▌     | 572/1250 [03:19<03:39,  3.09it/s]
Training 1/1 epoch (loss 1.6150):  46%|████▌     | 573/1250 [03:19<03:33,  3.18it/s]
Training 1/1 epoch (loss 1.6411):  46%|████▌     | 573/1250 [03:19<03:33,  3.18it/s]
Training 1/1 epoch (loss 1.6411):  46%|████▌     | 574/1250 [03:19<03:33,  3.16it/s]
Training 1/1 epoch (loss 1.4893):  46%|████▌     | 574/1250 [03:19<03:33,  3.16it/s]
Training 1/1 epoch (loss 1.4893):  46%|████▌     | 575/1250 [03:19<03:34,  3.15it/s]
Training 1/1 epoch (loss 1.6210):  46%|████▌     | 575/1250 [03:20<03:34,  3.15it/s]
Training 1/1 epoch (loss 1.6210):  46%|████▌     | 576/1250 [03:20<03:45,  2.99it/s]
Training 1/1 epoch (loss 1.6285):  46%|████▌     | 576/1250 [03:20<03:45,  2.99it/s]
Training 1/1 epoch (loss 1.6285):  46%|████▌     | 577/1250 [03:20<03:50,  2.92it/s]
Training 1/1 epoch (loss 1.5206):  46%|████▌     | 577/1250 [03:21<03:50,  2.92it/s]
Training 1/1 epoch (loss 1.5206):  46%|████▌     | 578/1250 [03:21<03:48,  2.94it/s]
Training 1/1 epoch (loss 1.3809):  46%|████▌     | 578/1250 [03:21<03:48,  2.94it/s]
Training 1/1 epoch (loss 1.3809):  46%|████▋     | 579/1250 [03:21<03:40,  3.04it/s]
Training 1/1 epoch (loss 1.5945):  46%|████▋     | 579/1250 [03:21<03:40,  3.04it/s]
Training 1/1 epoch (loss 1.5945):  46%|████▋     | 580/1250 [03:21<03:37,  3.08it/s]
Training 1/1 epoch (loss 1.4797):  46%|████▋     | 580/1250 [03:21<03:37,  3.08it/s]
Training 1/1 epoch (loss 1.4797):  46%|████▋     | 581/1250 [03:21<03:37,  3.08it/s]
Training 1/1 epoch (loss 1.6083):  46%|████▋     | 581/1250 [03:22<03:37,  3.08it/s]
Training 1/1 epoch (loss 1.6083):  47%|████▋     | 582/1250 [03:22<03:43,  2.98it/s]
Training 1/1 epoch (loss 1.5278):  47%|████▋     | 582/1250 [03:22<03:43,  2.98it/s]
Training 1/1 epoch (loss 1.5278):  47%|████▋     | 583/1250 [03:22<03:38,  3.05it/s]
Training 1/1 epoch (loss 1.5978):  47%|████▋     | 583/1250 [03:22<03:38,  3.05it/s]
Training 1/1 epoch (loss 1.5978):  47%|████▋     | 584/1250 [03:22<03:44,  2.97it/s]
Training 1/1 epoch (loss 1.6347):  47%|████▋     | 584/1250 [03:23<03:44,  2.97it/s]
Training 1/1 epoch (loss 1.6347):  47%|████▋     | 585/1250 [03:23<03:41,  3.00it/s]
Training 1/1 epoch (loss 1.6076):  47%|████▋     | 585/1250 [03:23<03:41,  3.00it/s]
Training 1/1 epoch (loss 1.6076):  47%|████▋     | 586/1250 [03:23<03:38,  3.04it/s]
Training 1/1 epoch (loss 1.5612):  47%|████▋     | 586/1250 [03:23<03:38,  3.04it/s]
Training 1/1 epoch (loss 1.5612):  47%|████▋     | 587/1250 [03:23<03:34,  3.09it/s]
Training 1/1 epoch (loss 1.6899):  47%|████▋     | 587/1250 [03:24<03:34,  3.09it/s]
Training 1/1 epoch (loss 1.6899):  47%|████▋     | 588/1250 [03:24<03:30,  3.14it/s]
Training 1/1 epoch (loss 1.4311):  47%|████▋     | 588/1250 [03:24<03:30,  3.14it/s]
Training 1/1 epoch (loss 1.4311):  47%|████▋     | 589/1250 [03:24<03:35,  3.06it/s]
Training 1/1 epoch (loss 1.6677):  47%|████▋     | 589/1250 [03:24<03:35,  3.06it/s]
Training 1/1 epoch (loss 1.6677):  47%|████▋     | 590/1250 [03:24<03:32,  3.10it/s]
Training 1/1 epoch (loss 1.5952):  47%|████▋     | 590/1250 [03:25<03:32,  3.10it/s]
Training 1/1 epoch (loss 1.5952):  47%|████▋     | 591/1250 [03:25<03:29,  3.14it/s]
Training 1/1 epoch (loss 1.5115):  47%|████▋     | 591/1250 [03:25<03:29,  3.14it/s]
Training 1/1 epoch (loss 1.5115):  47%|████▋     | 592/1250 [03:25<03:30,  3.12it/s]
Training 1/1 epoch (loss 1.5559):  47%|████▋     | 592/1250 [03:25<03:30,  3.12it/s]
Training 1/1 epoch (loss 1.5559):  47%|████▋     | 593/1250 [03:25<03:27,  3.17it/s]
Training 1/1 epoch (loss 1.4984):  47%|████▋     | 593/1250 [03:26<03:27,  3.17it/s]
Training 1/1 epoch (loss 1.4984):  48%|████▊     | 594/1250 [03:26<03:26,  3.17it/s]
Training 1/1 epoch (loss 1.5408):  48%|████▊     | 594/1250 [03:26<03:26,  3.17it/s]
Training 1/1 epoch (loss 1.5408):  48%|████▊     | 595/1250 [03:26<03:43,  2.93it/s]
Training 1/1 epoch (loss 1.4894):  48%|████▊     | 595/1250 [03:26<03:43,  2.93it/s]
Training 1/1 epoch (loss 1.4894):  48%|████▊     | 596/1250 [03:26<03:48,  2.86it/s]
Training 1/1 epoch (loss 1.5969):  48%|████▊     | 596/1250 [03:27<03:48,  2.86it/s]
Training 1/1 epoch (loss 1.5969):  48%|████▊     | 597/1250 [03:27<03:53,  2.80it/s]
Training 1/1 epoch (loss 1.5364):  48%|████▊     | 597/1250 [03:27<03:53,  2.80it/s]
Training 1/1 epoch (loss 1.5364):  48%|████▊     | 598/1250 [03:27<03:53,  2.79it/s]
Training 1/1 epoch (loss 1.4546):  48%|████▊     | 598/1250 [03:28<03:53,  2.79it/s]
Training 1/1 epoch (loss 1.4546):  48%|████▊     | 599/1250 [03:28<03:49,  2.83it/s]
Training 1/1 epoch (loss 1.4540):  48%|████▊     | 599/1250 [03:28<03:49,  2.83it/s]
Training 1/1 epoch (loss 1.4540):  48%|████▊     | 600/1250 [03:28<03:59,  2.72it/s]
Training 1/1 epoch (loss 1.4980):  48%|████▊     | 600/1250 [03:28<03:59,  2.72it/s]
Training 1/1 epoch (loss 1.4980):  48%|████▊     | 601/1250 [03:28<03:53,  2.78it/s]
Training 1/1 epoch (loss 1.6110):  48%|████▊     | 601/1250 [03:29<03:53,  2.78it/s]
Training 1/1 epoch (loss 1.6110):  48%|████▊     | 602/1250 [03:29<03:42,  2.91it/s]
Training 1/1 epoch (loss 1.6674):  48%|████▊     | 602/1250 [03:29<03:42,  2.91it/s]
Training 1/1 epoch (loss 1.6674):  48%|████▊     | 603/1250 [03:29<03:43,  2.90it/s]
Training 1/1 epoch (loss 1.4991):  48%|████▊     | 603/1250 [03:29<03:43,  2.90it/s]
Training 1/1 epoch (loss 1.4991):  48%|████▊     | 604/1250 [03:29<03:35,  3.00it/s]
Training 1/1 epoch (loss 1.5593):  48%|████▊     | 604/1250 [03:30<03:35,  3.00it/s]
Training 1/1 epoch (loss 1.5593):  48%|████▊     | 605/1250 [03:30<03:43,  2.89it/s]
Training 1/1 epoch (loss 1.4671):  48%|████▊     | 605/1250 [03:30<03:43,  2.89it/s]
Training 1/1 epoch (loss 1.4671):  48%|████▊     | 606/1250 [03:30<03:44,  2.86it/s]
Training 1/1 epoch (loss 1.5818):  48%|████▊     | 606/1250 [03:30<03:44,  2.86it/s]
Training 1/1 epoch (loss 1.5818):  49%|████▊     | 607/1250 [03:30<03:48,  2.82it/s]
Training 1/1 epoch (loss 1.6155):  49%|████▊     | 607/1250 [03:31<03:48,  2.82it/s]
Training 1/1 epoch (loss 1.6155):  49%|████▊     | 608/1250 [03:31<03:42,  2.88it/s]
Training 1/1 epoch (loss 1.5732):  49%|████▊     | 608/1250 [03:31<03:42,  2.88it/s]
Training 1/1 epoch (loss 1.5732):  49%|████▊     | 609/1250 [03:31<03:30,  3.05it/s]
Training 1/1 epoch (loss 1.5103):  49%|████▊     | 609/1250 [03:31<03:30,  3.05it/s]
Training 1/1 epoch (loss 1.5103):  49%|████▉     | 610/1250 [03:31<03:32,  3.01it/s]
Training 1/1 epoch (loss 1.4958):  49%|████▉     | 610/1250 [03:32<03:32,  3.01it/s]
Training 1/1 epoch (loss 1.4958):  49%|████▉     | 611/1250 [03:32<03:22,  3.15it/s]
Training 1/1 epoch (loss 1.6313):  49%|████▉     | 611/1250 [03:32<03:22,  3.15it/s]
Training 1/1 epoch (loss 1.6313):  49%|████▉     | 612/1250 [03:32<03:28,  3.05it/s]
Training 1/1 epoch (loss 1.4736):  49%|████▉     | 612/1250 [03:32<03:28,  3.05it/s]
Training 1/1 epoch (loss 1.4736):  49%|████▉     | 613/1250 [03:32<03:33,  2.98it/s]
Training 1/1 epoch (loss 1.6702):  49%|████▉     | 613/1250 [03:33<03:33,  2.98it/s]
Training 1/1 epoch (loss 1.6702):  49%|████▉     | 614/1250 [03:33<03:27,  3.06it/s]
Training 1/1 epoch (loss 1.4929):  49%|████▉     | 614/1250 [03:33<03:27,  3.06it/s]
Training 1/1 epoch (loss 1.4929):  49%|████▉     | 615/1250 [03:33<03:23,  3.11it/s]
Training 1/1 epoch (loss 1.6564):  49%|████▉     | 615/1250 [03:33<03:23,  3.11it/s]
Training 1/1 epoch (loss 1.6564):  49%|████▉     | 616/1250 [03:33<03:27,  3.05it/s]
Training 1/1 epoch (loss 1.4992):  49%|████▉     | 616/1250 [03:34<03:27,  3.05it/s]
Training 1/1 epoch (loss 1.4992):  49%|████▉     | 617/1250 [03:34<03:26,  3.07it/s]
Training 1/1 epoch (loss 1.6698):  49%|████▉     | 617/1250 [03:34<03:26,  3.07it/s]
Training 1/1 epoch (loss 1.6698):  49%|████▉     | 618/1250 [03:34<03:30,  3.00it/s]
Training 1/1 epoch (loss 1.5076):  49%|████▉     | 618/1250 [03:34<03:30,  3.00it/s]
Training 1/1 epoch (loss 1.5076):  50%|████▉     | 619/1250 [03:34<03:43,  2.82it/s]
Training 1/1 epoch (loss 1.4736):  50%|████▉     | 619/1250 [03:35<03:43,  2.82it/s]
Training 1/1 epoch (loss 1.4736):  50%|████▉     | 620/1250 [03:35<03:45,  2.79it/s]
Training 1/1 epoch (loss 1.5016):  50%|████▉     | 620/1250 [03:35<03:45,  2.79it/s]
Training 1/1 epoch (loss 1.5016):  50%|████▉     | 621/1250 [03:35<03:43,  2.81it/s]
Training 1/1 epoch (loss 1.5647):  50%|████▉     | 621/1250 [03:35<03:43,  2.81it/s]
Training 1/1 epoch (loss 1.5647):  50%|████▉     | 622/1250 [03:35<03:43,  2.81it/s]
Training 1/1 epoch (loss 1.5357):  50%|████▉     | 622/1250 [03:36<03:43,  2.81it/s]
Training 1/1 epoch (loss 1.5357):  50%|████▉     | 623/1250 [03:36<03:42,  2.82it/s]
Training 1/1 epoch (loss 1.5774):  50%|████▉     | 623/1250 [03:36<03:42,  2.82it/s]
Training 1/1 epoch (loss 1.5774):  50%|████▉     | 624/1250 [03:36<03:56,  2.65it/s]
Training 1/1 epoch (loss 1.5092):  50%|████▉     | 624/1250 [03:37<03:56,  2.65it/s]
Training 1/1 epoch (loss 1.5092):  50%|█████     | 625/1250 [03:37<03:51,  2.70it/s]
Training 1/1 epoch (loss 1.5632):  50%|█████     | 625/1250 [03:37<03:51,  2.70it/s]
Training 1/1 epoch (loss 1.5632):  50%|█████     | 626/1250 [03:37<03:39,  2.85it/s]
Training 1/1 epoch (loss 1.7102):  50%|█████     | 626/1250 [03:37<03:39,  2.85it/s]
Training 1/1 epoch (loss 1.7102):  50%|█████     | 627/1250 [03:37<03:35,  2.89it/s]
Training 1/1 epoch (loss 1.5602):  50%|█████     | 627/1250 [03:37<03:35,  2.89it/s]
Training 1/1 epoch (loss 1.5602):  50%|█████     | 628/1250 [03:37<03:33,  2.91it/s]
Training 1/1 epoch (loss 1.5394):  50%|█████     | 628/1250 [03:38<03:33,  2.91it/s]
Training 1/1 epoch (loss 1.5394):  50%|█████     | 629/1250 [03:38<03:28,  2.98it/s]
Training 1/1 epoch (loss 1.6313):  50%|█████     | 629/1250 [03:38<03:28,  2.98it/s]
Training 1/1 epoch (loss 1.6313):  50%|█████     | 630/1250 [03:38<03:25,  3.02it/s]
Training 1/1 epoch (loss 1.6110):  50%|█████     | 630/1250 [03:38<03:25,  3.02it/s]
Training 1/1 epoch (loss 1.6110):  50%|█████     | 631/1250 [03:38<03:24,  3.03it/s]
Training 1/1 epoch (loss 1.5054):  50%|█████     | 631/1250 [03:39<03:24,  3.03it/s]
Training 1/1 epoch (loss 1.5054):  51%|█████     | 632/1250 [03:39<03:25,  3.01it/s]
Training 1/1 epoch (loss 1.5611):  51%|█████     | 632/1250 [03:39<03:25,  3.01it/s]
Training 1/1 epoch (loss 1.5611):  51%|█████     | 633/1250 [03:39<03:20,  3.08it/s]
Training 1/1 epoch (loss 1.5268):  51%|█████     | 633/1250 [03:39<03:20,  3.08it/s]
Training 1/1 epoch (loss 1.5268):  51%|█████     | 634/1250 [03:39<03:15,  3.16it/s]
Training 1/1 epoch (loss 1.4175):  51%|█████     | 634/1250 [03:40<03:15,  3.16it/s]
Training 1/1 epoch (loss 1.4175):  51%|█████     | 635/1250 [03:40<03:15,  3.14it/s]
Training 1/1 epoch (loss 1.5070):  51%|█████     | 635/1250 [03:40<03:15,  3.14it/s]
Training 1/1 epoch (loss 1.5070):  51%|█████     | 636/1250 [03:40<03:15,  3.14it/s]
Training 1/1 epoch (loss 1.5028):  51%|█████     | 636/1250 [03:40<03:15,  3.14it/s]
Training 1/1 epoch (loss 1.5028):  51%|█████     | 637/1250 [03:40<03:21,  3.05it/s]
Training 1/1 epoch (loss 1.5524):  51%|█████     | 637/1250 [03:41<03:21,  3.05it/s]
Training 1/1 epoch (loss 1.5524):  51%|█████     | 638/1250 [03:41<03:18,  3.09it/s]
Training 1/1 epoch (loss 1.6153):  51%|█████     | 638/1250 [03:41<03:18,  3.09it/s]
Training 1/1 epoch (loss 1.6153):  51%|█████     | 639/1250 [03:41<03:11,  3.20it/s]
Training 1/1 epoch (loss 1.5490):  51%|█████     | 639/1250 [03:41<03:11,  3.20it/s]
Training 1/1 epoch (loss 1.5490):  51%|█████     | 640/1250 [03:41<03:18,  3.07it/s]
Training 1/1 epoch (loss 1.5697):  51%|█████     | 640/1250 [03:42<03:18,  3.07it/s]
Training 1/1 epoch (loss 1.5697):  51%|█████▏    | 641/1250 [03:42<03:17,  3.08it/s]
Training 1/1 epoch (loss 1.5100):  51%|█████▏    | 641/1250 [03:42<03:17,  3.08it/s]
Training 1/1 epoch (loss 1.5100):  51%|█████▏    | 642/1250 [03:42<03:16,  3.09it/s]
Training 1/1 epoch (loss 1.6577):  51%|█████▏    | 642/1250 [03:42<03:16,  3.09it/s]
Training 1/1 epoch (loss 1.6577):  51%|█████▏    | 643/1250 [03:42<03:32,  2.85it/s]
Training 1/1 epoch (loss 1.4945):  51%|█████▏    | 643/1250 [03:43<03:32,  2.85it/s]
Training 1/1 epoch (loss 1.4945):  52%|█████▏    | 644/1250 [03:43<03:26,  2.94it/s]
Training 1/1 epoch (loss 1.4853):  52%|█████▏    | 644/1250 [03:43<03:26,  2.94it/s]
Training 1/1 epoch (loss 1.4853):  52%|█████▏    | 645/1250 [03:43<03:19,  3.03it/s]
Training 1/1 epoch (loss 1.6125):  52%|█████▏    | 645/1250 [03:43<03:19,  3.03it/s]
Training 1/1 epoch (loss 1.6125):  52%|█████▏    | 646/1250 [03:43<03:15,  3.09it/s]
Training 1/1 epoch (loss 1.4895):  52%|█████▏    | 646/1250 [03:44<03:15,  3.09it/s]
Training 1/1 epoch (loss 1.4895):  52%|█████▏    | 647/1250 [03:44<03:13,  3.11it/s]
Training 1/1 epoch (loss 1.5908):  52%|█████▏    | 647/1250 [03:44<03:13,  3.11it/s]
Training 1/1 epoch (loss 1.5908):  52%|█████▏    | 648/1250 [03:44<03:21,  2.99it/s]
Training 1/1 epoch (loss 1.4284):  52%|█████▏    | 648/1250 [03:44<03:21,  2.99it/s]
Training 1/1 epoch (loss 1.4284):  52%|█████▏    | 649/1250 [03:44<03:28,  2.88it/s]
Training 1/1 epoch (loss 1.6306):  52%|█████▏    | 649/1250 [03:45<03:28,  2.88it/s]
Training 1/1 epoch (loss 1.6306):  52%|█████▏    | 650/1250 [03:45<03:22,  2.96it/s]
Training 1/1 epoch (loss 1.4964):  52%|█████▏    | 650/1250 [03:45<03:22,  2.96it/s]
Training 1/1 epoch (loss 1.4964):  52%|█████▏    | 651/1250 [03:45<03:18,  3.02it/s]
Training 1/1 epoch (loss 1.5366):  52%|█████▏    | 651/1250 [03:45<03:18,  3.02it/s]
Training 1/1 epoch (loss 1.5366):  52%|█████▏    | 652/1250 [03:45<03:12,  3.11it/s]
Training 1/1 epoch (loss 1.5395):  52%|█████▏    | 652/1250 [03:46<03:12,  3.11it/s]
Training 1/1 epoch (loss 1.5395):  52%|█████▏    | 653/1250 [03:46<03:11,  3.11it/s]
Training 1/1 epoch (loss 1.6482):  52%|█████▏    | 653/1250 [03:46<03:11,  3.11it/s]
Training 1/1 epoch (loss 1.6482):  52%|█████▏    | 654/1250 [03:46<03:10,  3.13it/s]
Training 1/1 epoch (loss 1.5043):  52%|█████▏    | 654/1250 [03:46<03:10,  3.13it/s]
Training 1/1 epoch (loss 1.5043):  52%|█████▏    | 655/1250 [03:46<03:17,  3.01it/s]
Training 1/1 epoch (loss 1.5558):  52%|█████▏    | 655/1250 [03:47<03:17,  3.01it/s]
Training 1/1 epoch (loss 1.5558):  52%|█████▏    | 656/1250 [03:47<03:16,  3.02it/s]
Training 1/1 epoch (loss 1.6135):  52%|█████▏    | 656/1250 [03:47<03:16,  3.02it/s]
Training 1/1 epoch (loss 1.6135):  53%|█████▎    | 657/1250 [03:47<03:09,  3.13it/s]
Training 1/1 epoch (loss 1.4348):  53%|█████▎    | 657/1250 [03:47<03:09,  3.13it/s]
Training 1/1 epoch (loss 1.4348):  53%|█████▎    | 658/1250 [03:47<03:10,  3.11it/s]
Training 1/1 epoch (loss 1.4710):  53%|█████▎    | 658/1250 [03:48<03:10,  3.11it/s]
Training 1/1 epoch (loss 1.4710):  53%|█████▎    | 659/1250 [03:48<03:16,  3.01it/s]
Training 1/1 epoch (loss 1.3850):  53%|█████▎    | 659/1250 [03:48<03:16,  3.01it/s]
Training 1/1 epoch (loss 1.3850):  53%|█████▎    | 660/1250 [03:48<03:13,  3.05it/s]
Training 1/1 epoch (loss 1.5009):  53%|█████▎    | 660/1250 [03:48<03:13,  3.05it/s]
Training 1/1 epoch (loss 1.5009):  53%|█████▎    | 661/1250 [03:48<03:20,  2.94it/s]
Training 1/1 epoch (loss 1.5064):  53%|█████▎    | 661/1250 [03:49<03:20,  2.94it/s]
Training 1/1 epoch (loss 1.5064):  53%|█████▎    | 662/1250 [03:49<03:15,  3.00it/s]
Training 1/1 epoch (loss 1.5555):  53%|█████▎    | 662/1250 [03:49<03:15,  3.00it/s]
Training 1/1 epoch (loss 1.5555):  53%|█████▎    | 663/1250 [03:49<03:11,  3.07it/s]
Training 1/1 epoch (loss 1.5485):  53%|█████▎    | 663/1250 [03:49<03:11,  3.07it/s]
Training 1/1 epoch (loss 1.5485):  53%|█████▎    | 664/1250 [03:49<03:11,  3.05it/s]
Training 1/1 epoch (loss 1.5486):  53%|█████▎    | 664/1250 [03:50<03:11,  3.05it/s]
Training 1/1 epoch (loss 1.5486):  53%|█████▎    | 665/1250 [03:50<03:08,  3.10it/s]
Training 1/1 epoch (loss 1.6450):  53%|█████▎    | 665/1250 [03:50<03:08,  3.10it/s]
Training 1/1 epoch (loss 1.6450):  53%|█████▎    | 666/1250 [03:50<03:09,  3.08it/s]
Training 1/1 epoch (loss 1.5050):  53%|█████▎    | 666/1250 [03:50<03:09,  3.08it/s]
Training 1/1 epoch (loss 1.5050):  53%|█████▎    | 667/1250 [03:50<03:10,  3.07it/s]
Training 1/1 epoch (loss 1.5568):  53%|█████▎    | 667/1250 [03:51<03:10,  3.07it/s]
Training 1/1 epoch (loss 1.5568):  53%|█████▎    | 668/1250 [03:51<03:09,  3.07it/s]
Training 1/1 epoch (loss 1.5551):  53%|█████▎    | 668/1250 [03:51<03:09,  3.07it/s]
Training 1/1 epoch (loss 1.5551):  54%|█████▎    | 669/1250 [03:51<03:08,  3.09it/s]
Training 1/1 epoch (loss 1.5806):  54%|█████▎    | 669/1250 [03:51<03:08,  3.09it/s]
Training 1/1 epoch (loss 1.5806):  54%|█████▎    | 670/1250 [03:51<03:02,  3.19it/s]
Training 1/1 epoch (loss 1.4892):  54%|█████▎    | 670/1250 [03:51<03:02,  3.19it/s]
Training 1/1 epoch (loss 1.4892):  54%|█████▎    | 671/1250 [03:51<03:01,  3.18it/s]
Training 1/1 epoch (loss 1.4861):  54%|█████▎    | 671/1250 [03:52<03:01,  3.18it/s]
Training 1/1 epoch (loss 1.4861):  54%|█████▍    | 672/1250 [03:52<03:07,  3.08it/s]
Training 1/1 epoch (loss 1.5145):  54%|█████▍    | 672/1250 [03:52<03:07,  3.08it/s]
Training 1/1 epoch (loss 1.5145):  54%|█████▍    | 673/1250 [03:52<03:07,  3.08it/s]
Training 1/1 epoch (loss 1.5171):  54%|█████▍    | 673/1250 [03:52<03:07,  3.08it/s]
Training 1/1 epoch (loss 1.5171):  54%|█████▍    | 674/1250 [03:52<03:06,  3.08it/s]
Training 1/1 epoch (loss 1.5632):  54%|█████▍    | 674/1250 [03:53<03:06,  3.08it/s]
Training 1/1 epoch (loss 1.5632):  54%|█████▍    | 675/1250 [03:53<03:12,  2.98it/s]
Training 1/1 epoch (loss 1.5361):  54%|█████▍    | 675/1250 [03:53<03:12,  2.98it/s]
Training 1/1 epoch (loss 1.5361):  54%|█████▍    | 676/1250 [03:53<03:07,  3.07it/s]
Training 1/1 epoch (loss 1.5601):  54%|█████▍    | 676/1250 [03:53<03:07,  3.07it/s]
Training 1/1 epoch (loss 1.5601):  54%|█████▍    | 677/1250 [03:53<03:03,  3.12it/s]
Training 1/1 epoch (loss 1.5361):  54%|█████▍    | 677/1250 [03:54<03:03,  3.12it/s]
Training 1/1 epoch (loss 1.5361):  54%|█████▍    | 678/1250 [03:54<03:04,  3.09it/s]
Training 1/1 epoch (loss 1.5355):  54%|█████▍    | 678/1250 [03:54<03:04,  3.09it/s]
Training 1/1 epoch (loss 1.5355):  54%|█████▍    | 679/1250 [03:54<03:06,  3.07it/s]
Training 1/1 epoch (loss 1.5598):  54%|█████▍    | 679/1250 [03:54<03:06,  3.07it/s]
Training 1/1 epoch (loss 1.5598):  54%|█████▍    | 680/1250 [03:54<03:06,  3.05it/s]
Training 1/1 epoch (loss 1.4968):  54%|█████▍    | 680/1250 [03:55<03:06,  3.05it/s]
Training 1/1 epoch (loss 1.4968):  54%|█████▍    | 681/1250 [03:55<03:04,  3.08it/s]
Training 1/1 epoch (loss 1.5678):  54%|█████▍    | 681/1250 [03:55<03:04,  3.08it/s]
Training 1/1 epoch (loss 1.5678):  55%|█████▍    | 682/1250 [03:55<02:58,  3.19it/s]
Training 1/1 epoch (loss 1.5511):  55%|█████▍    | 682/1250 [03:55<02:58,  3.19it/s]
Training 1/1 epoch (loss 1.5511):  55%|█████▍    | 683/1250 [03:55<03:00,  3.14it/s]
Training 1/1 epoch (loss 1.6106):  55%|█████▍    | 683/1250 [03:56<03:00,  3.14it/s]
Training 1/1 epoch (loss 1.6106):  55%|█████▍    | 684/1250 [03:56<02:58,  3.17it/s]
Training 1/1 epoch (loss 1.5098):  55%|█████▍    | 684/1250 [03:56<02:58,  3.17it/s]
Training 1/1 epoch (loss 1.5098):  55%|█████▍    | 685/1250 [03:56<03:00,  3.14it/s]
Training 1/1 epoch (loss 1.5290):  55%|█████▍    | 685/1250 [03:56<03:00,  3.14it/s]
Training 1/1 epoch (loss 1.5290):  55%|█████▍    | 686/1250 [03:56<03:00,  3.13it/s]
Training 1/1 epoch (loss 1.5427):  55%|█████▍    | 686/1250 [03:57<03:00,  3.13it/s]
Training 1/1 epoch (loss 1.5427):  55%|█████▍    | 687/1250 [03:57<02:57,  3.18it/s]
Training 1/1 epoch (loss 1.3919):  55%|█████▍    | 687/1250 [03:57<02:57,  3.18it/s]
Training 1/1 epoch (loss 1.3919):  55%|█████▌    | 688/1250 [03:57<02:56,  3.19it/s]
Training 1/1 epoch (loss 1.4859):  55%|█████▌    | 688/1250 [03:57<02:56,  3.19it/s]
Training 1/1 epoch (loss 1.4859):  55%|█████▌    | 689/1250 [03:57<02:56,  3.17it/s]
Training 1/1 epoch (loss 1.4165):  55%|█████▌    | 689/1250 [03:58<02:56,  3.17it/s]
Training 1/1 epoch (loss 1.4165):  55%|█████▌    | 690/1250 [03:58<02:58,  3.14it/s]
Training 1/1 epoch (loss 1.5640):  55%|█████▌    | 690/1250 [03:58<02:58,  3.14it/s]
Training 1/1 epoch (loss 1.5640):  55%|█████▌    | 691/1250 [03:58<03:02,  3.06it/s]
Training 1/1 epoch (loss 1.4841):  55%|█████▌    | 691/1250 [03:58<03:02,  3.06it/s]
Training 1/1 epoch (loss 1.4841):  55%|█████▌    | 692/1250 [03:58<03:08,  2.96it/s]
Training 1/1 epoch (loss 1.5701):  55%|█████▌    | 692/1250 [03:59<03:08,  2.96it/s]
Training 1/1 epoch (loss 1.5701):  55%|█████▌    | 693/1250 [03:59<03:02,  3.05it/s]
Training 1/1 epoch (loss 1.4587):  55%|█████▌    | 693/1250 [03:59<03:02,  3.05it/s]
Training 1/1 epoch (loss 1.4587):  56%|█████▌    | 694/1250 [03:59<03:17,  2.81it/s]
Training 1/1 epoch (loss 1.5958):  56%|█████▌    | 694/1250 [03:59<03:17,  2.81it/s]
Training 1/1 epoch (loss 1.5958):  56%|█████▌    | 695/1250 [03:59<03:10,  2.92it/s]
Training 1/1 epoch (loss 1.6715):  56%|█████▌    | 695/1250 [04:00<03:10,  2.92it/s]
Training 1/1 epoch (loss 1.6715):  56%|█████▌    | 696/1250 [04:00<03:13,  2.87it/s]
Training 1/1 epoch (loss 1.5506):  56%|█████▌    | 696/1250 [04:00<03:13,  2.87it/s]
Training 1/1 epoch (loss 1.5506):  56%|█████▌    | 697/1250 [04:00<03:12,  2.88it/s]
Training 1/1 epoch (loss 1.5667):  56%|█████▌    | 697/1250 [04:00<03:12,  2.88it/s]
Training 1/1 epoch (loss 1.5667):  56%|█████▌    | 698/1250 [04:00<03:09,  2.91it/s]
Training 1/1 epoch (loss 1.6549):  56%|█████▌    | 698/1250 [04:01<03:09,  2.91it/s]
Training 1/1 epoch (loss 1.6549):  56%|█████▌    | 699/1250 [04:01<03:05,  2.97it/s]
Training 1/1 epoch (loss 1.3779):  56%|█████▌    | 699/1250 [04:01<03:05,  2.97it/s]
Training 1/1 epoch (loss 1.3779):  56%|█████▌    | 700/1250 [04:01<03:03,  3.00it/s]
Training 1/1 epoch (loss 1.5554):  56%|█████▌    | 700/1250 [04:01<03:03,  3.00it/s]
Training 1/1 epoch (loss 1.5554):  56%|█████▌    | 701/1250 [04:01<02:58,  3.08it/s]
Training 1/1 epoch (loss 1.4032):  56%|█████▌    | 701/1250 [04:02<02:58,  3.08it/s]
Training 1/1 epoch (loss 1.4032):  56%|█████▌    | 702/1250 [04:02<02:56,  3.11it/s]
Training 1/1 epoch (loss 1.5705):  56%|█████▌    | 702/1250 [04:02<02:56,  3.11it/s]
Training 1/1 epoch (loss 1.5705):  56%|█████▌    | 703/1250 [04:02<02:54,  3.13it/s]
Training 1/1 epoch (loss 1.4012):  56%|█████▌    | 703/1250 [04:02<02:54,  3.13it/s]
Training 1/1 epoch (loss 1.4012):  56%|█████▋    | 704/1250 [04:02<03:09,  2.88it/s]
Training 1/1 epoch (loss 1.5793):  56%|█████▋    | 704/1250 [04:03<03:09,  2.88it/s]
Training 1/1 epoch (loss 1.5793):  56%|█████▋    | 705/1250 [04:03<03:04,  2.96it/s]
Training 1/1 epoch (loss 1.5035):  56%|█████▋    | 705/1250 [04:03<03:04,  2.96it/s]
Training 1/1 epoch (loss 1.5035):  56%|█████▋    | 706/1250 [04:03<02:59,  3.03it/s]
Training 1/1 epoch (loss 1.6331):  56%|█████▋    | 706/1250 [04:03<02:59,  3.03it/s]
Training 1/1 epoch (loss 1.6331):  57%|█████▋    | 707/1250 [04:03<03:03,  2.96it/s]
Training 1/1 epoch (loss 1.6060):  57%|█████▋    | 707/1250 [04:04<03:03,  2.96it/s]
Training 1/1 epoch (loss 1.6060):  57%|█████▋    | 708/1250 [04:04<03:00,  3.00it/s]
Training 1/1 epoch (loss 1.5164):  57%|█████▋    | 708/1250 [04:04<03:00,  3.00it/s]
Training 1/1 epoch (loss 1.5164):  57%|█████▋    | 709/1250 [04:04<02:59,  3.01it/s]
Training 1/1 epoch (loss 1.5647):  57%|█████▋    | 709/1250 [04:04<02:59,  3.01it/s]
Training 1/1 epoch (loss 1.5647):  57%|█████▋    | 710/1250 [04:04<03:02,  2.96it/s]
Training 1/1 epoch (loss 1.5979):  57%|█████▋    | 710/1250 [04:05<03:02,  2.96it/s]
Training 1/1 epoch (loss 1.5979):  57%|█████▋    | 711/1250 [04:05<02:56,  3.05it/s]
Training 1/1 epoch (loss 1.4790):  57%|█████▋    | 711/1250 [04:05<02:56,  3.05it/s]
Training 1/1 epoch (loss 1.4790):  57%|█████▋    | 712/1250 [04:05<02:53,  3.09it/s]
Training 1/1 epoch (loss 1.5869):  57%|█████▋    | 712/1250 [04:05<02:53,  3.09it/s]
Training 1/1 epoch (loss 1.5869):  57%|█████▋    | 713/1250 [04:05<02:53,  3.10it/s]
Training 1/1 epoch (loss 1.4049):  57%|█████▋    | 713/1250 [04:06<02:53,  3.10it/s]
Training 1/1 epoch (loss 1.4049):  57%|█████▋    | 714/1250 [04:06<02:53,  3.08it/s]
Training 1/1 epoch (loss 1.5129):  57%|█████▋    | 714/1250 [04:06<02:53,  3.08it/s]
Training 1/1 epoch (loss 1.5129):  57%|█████▋    | 715/1250 [04:06<02:50,  3.14it/s]
Training 1/1 epoch (loss 1.6267):  57%|█████▋    | 715/1250 [04:06<02:50,  3.14it/s]
Training 1/1 epoch (loss 1.6267):  57%|█████▋    | 716/1250 [04:06<02:52,  3.10it/s]
Training 1/1 epoch (loss 1.6487):  57%|█████▋    | 716/1250 [04:07<02:52,  3.10it/s]
Training 1/1 epoch (loss 1.6487):  57%|█████▋    | 717/1250 [04:07<02:51,  3.10it/s]
Training 1/1 epoch (loss 1.5512):  57%|█████▋    | 717/1250 [04:07<02:51,  3.10it/s]
Training 1/1 epoch (loss 1.5512):  57%|█████▋    | 718/1250 [04:07<02:48,  3.16it/s]
Training 1/1 epoch (loss 1.6256):  57%|█████▋    | 718/1250 [04:07<02:48,  3.16it/s]
Training 1/1 epoch (loss 1.6256):  58%|█████▊    | 719/1250 [04:07<02:44,  3.22it/s]
Training 1/1 epoch (loss 1.4680):  58%|█████▊    | 719/1250 [04:08<02:44,  3.22it/s]
Training 1/1 epoch (loss 1.4680):  58%|█████▊    | 720/1250 [04:08<02:47,  3.16it/s]
Training 1/1 epoch (loss 1.5120):  58%|█████▊    | 720/1250 [04:08<02:47,  3.16it/s]
Training 1/1 epoch (loss 1.5120):  58%|█████▊    | 721/1250 [04:08<02:53,  3.04it/s]
Training 1/1 epoch (loss 1.5342):  58%|█████▊    | 721/1250 [04:08<02:53,  3.04it/s]
Training 1/1 epoch (loss 1.5342):  58%|█████▊    | 722/1250 [04:08<02:55,  3.01it/s]
Training 1/1 epoch (loss 1.5233):  58%|█████▊    | 722/1250 [04:09<02:55,  3.01it/s]
Training 1/1 epoch (loss 1.5233):  58%|█████▊    | 723/1250 [04:09<03:02,  2.89it/s]
Training 1/1 epoch (loss 1.4893):  58%|█████▊    | 723/1250 [04:09<03:02,  2.89it/s]
Training 1/1 epoch (loss 1.4893):  58%|█████▊    | 724/1250 [04:09<02:55,  2.99it/s]
Training 1/1 epoch (loss 1.5236):  58%|█████▊    | 724/1250 [04:09<02:55,  2.99it/s]
Training 1/1 epoch (loss 1.5236):  58%|█████▊    | 725/1250 [04:09<02:48,  3.11it/s]
Training 1/1 epoch (loss 1.5478):  58%|█████▊    | 725/1250 [04:10<02:48,  3.11it/s]
Training 1/1 epoch (loss 1.5478):  58%|█████▊    | 726/1250 [04:10<02:46,  3.15it/s]
Training 1/1 epoch (loss 1.5741):  58%|█████▊    | 726/1250 [04:10<02:46,  3.15it/s]
Training 1/1 epoch (loss 1.5741):  58%|█████▊    | 727/1250 [04:10<02:45,  3.16it/s]
Training 1/1 epoch (loss 1.5890):  58%|█████▊    | 727/1250 [04:10<02:45,  3.16it/s]
Training 1/1 epoch (loss 1.5890):  58%|█████▊    | 728/1250 [04:10<02:49,  3.08it/s]
Training 1/1 epoch (loss 1.5317):  58%|█████▊    | 728/1250 [04:10<02:49,  3.08it/s]
Training 1/1 epoch (loss 1.5317):  58%|█████▊    | 729/1250 [04:10<02:50,  3.06it/s]
Training 1/1 epoch (loss 1.6553):  58%|█████▊    | 729/1250 [04:11<02:50,  3.06it/s]
Training 1/1 epoch (loss 1.6553):  58%|█████▊    | 730/1250 [04:11<02:47,  3.10it/s]
Training 1/1 epoch (loss 1.6161):  58%|█████▊    | 730/1250 [04:11<02:47,  3.10it/s]
Training 1/1 epoch (loss 1.6161):  58%|█████▊    | 731/1250 [04:11<02:50,  3.04it/s]
Training 1/1 epoch (loss 1.5242):  58%|█████▊    | 731/1250 [04:11<02:50,  3.04it/s]
Training 1/1 epoch (loss 1.5242):  59%|█████▊    | 732/1250 [04:11<02:45,  3.12it/s]
Training 1/1 epoch (loss 1.4447):  59%|█████▊    | 732/1250 [04:12<02:45,  3.12it/s]
Training 1/1 epoch (loss 1.4447):  59%|█████▊    | 733/1250 [04:12<02:52,  2.99it/s]
Training 1/1 epoch (loss 1.5695):  59%|█████▊    | 733/1250 [04:12<02:52,  2.99it/s]
Training 1/1 epoch (loss 1.5695):  59%|█████▊    | 734/1250 [04:12<02:51,  3.02it/s]
Training 1/1 epoch (loss 1.4556):  59%|█████▊    | 734/1250 [04:12<02:51,  3.02it/s]
Training 1/1 epoch (loss 1.4556):  59%|█████▉    | 735/1250 [04:12<02:48,  3.05it/s]
Training 1/1 epoch (loss 1.4958):  59%|█████▉    | 735/1250 [04:13<02:48,  3.05it/s]
Training 1/1 epoch (loss 1.4958):  59%|█████▉    | 736/1250 [04:13<02:50,  3.02it/s]
Training 1/1 epoch (loss 1.6340):  59%|█████▉    | 736/1250 [04:13<02:50,  3.02it/s]
Training 1/1 epoch (loss 1.6340):  59%|█████▉    | 737/1250 [04:13<02:46,  3.07it/s]
Training 1/1 epoch (loss 1.5707):  59%|█████▉    | 737/1250 [04:13<02:46,  3.07it/s]
Training 1/1 epoch (loss 1.5707):  59%|█████▉    | 738/1250 [04:13<02:44,  3.11it/s]
Training 1/1 epoch (loss 1.4948):  59%|█████▉    | 738/1250 [04:14<02:44,  3.11it/s]
Training 1/1 epoch (loss 1.4948):  59%|█████▉    | 739/1250 [04:14<02:50,  3.00it/s]
Training 1/1 epoch (loss 1.5104):  59%|█████▉    | 739/1250 [04:14<02:50,  3.00it/s]
Training 1/1 epoch (loss 1.5104):  59%|█████▉    | 740/1250 [04:14<02:50,  3.00it/s]
Training 1/1 epoch (loss 1.5528):  59%|█████▉    | 740/1250 [04:14<02:50,  3.00it/s]
Training 1/1 epoch (loss 1.5528):  59%|█████▉    | 741/1250 [04:14<02:54,  2.92it/s]
Training 1/1 epoch (loss 1.4689):  59%|█████▉    | 741/1250 [04:15<02:54,  2.92it/s]
Training 1/1 epoch (loss 1.4689):  59%|█████▉    | 742/1250 [04:15<02:50,  2.99it/s]
Training 1/1 epoch (loss 1.5141):  59%|█████▉    | 742/1250 [04:15<02:50,  2.99it/s]
Training 1/1 epoch (loss 1.5141):  59%|█████▉    | 743/1250 [04:15<02:46,  3.04it/s]
Training 1/1 epoch (loss 1.6149):  59%|█████▉    | 743/1250 [04:15<02:46,  3.04it/s]
Training 1/1 epoch (loss 1.6149):  60%|█████▉    | 744/1250 [04:15<02:48,  3.00it/s]
Training 1/1 epoch (loss 1.5124):  60%|█████▉    | 744/1250 [04:16<02:48,  3.00it/s]
Training 1/1 epoch (loss 1.5124):  60%|█████▉    | 745/1250 [04:16<02:51,  2.95it/s]
Training 1/1 epoch (loss 1.5428):  60%|█████▉    | 745/1250 [04:16<02:51,  2.95it/s]
Training 1/1 epoch (loss 1.5428):  60%|█████▉    | 746/1250 [04:16<02:47,  3.02it/s]
Training 1/1 epoch (loss 1.5416):  60%|█████▉    | 746/1250 [04:16<02:47,  3.02it/s]
Training 1/1 epoch (loss 1.5416):  60%|█████▉    | 747/1250 [04:16<02:46,  3.02it/s]
Training 1/1 epoch (loss 1.6113):  60%|█████▉    | 747/1250 [04:17<02:46,  3.02it/s]
Training 1/1 epoch (loss 1.6113):  60%|█████▉    | 748/1250 [04:17<02:42,  3.09it/s]
Training 1/1 epoch (loss 1.5208):  60%|█████▉    | 748/1250 [04:17<02:42,  3.09it/s]
Training 1/1 epoch (loss 1.5208):  60%|█████▉    | 749/1250 [04:17<02:40,  3.11it/s]
Training 1/1 epoch (loss 1.4705):  60%|█████▉    | 749/1250 [04:17<02:40,  3.11it/s]
Training 1/1 epoch (loss 1.4705):  60%|██████    | 750/1250 [04:17<02:40,  3.12it/s]
Training 1/1 epoch (loss 1.4951):  60%|██████    | 750/1250 [04:18<02:40,  3.12it/s]
Training 1/1 epoch (loss 1.4951):  60%|██████    | 751/1250 [04:18<02:41,  3.08it/s]
Training 1/1 epoch (loss 1.4975):  60%|██████    | 751/1250 [04:18<02:41,  3.08it/s]
Training 1/1 epoch (loss 1.4975):  60%|██████    | 752/1250 [04:18<02:50,  2.92it/s]
Training 1/1 epoch (loss 1.5712):  60%|██████    | 752/1250 [04:18<02:50,  2.92it/s]
Training 1/1 epoch (loss 1.5712):  60%|██████    | 753/1250 [04:18<02:50,  2.91it/s]
Training 1/1 epoch (loss 1.4695):  60%|██████    | 753/1250 [04:19<02:50,  2.91it/s]
Training 1/1 epoch (loss 1.4695):  60%|██████    | 754/1250 [04:19<02:45,  2.99it/s]
Training 1/1 epoch (loss 1.5575):  60%|██████    | 754/1250 [04:19<02:45,  2.99it/s]
Training 1/1 epoch (loss 1.5575):  60%|██████    | 755/1250 [04:19<02:47,  2.95it/s]
Training 1/1 epoch (loss 1.6193):  60%|██████    | 755/1250 [04:19<02:47,  2.95it/s]
Training 1/1 epoch (loss 1.6193):  60%|██████    | 756/1250 [04:19<02:43,  3.02it/s]
Training 1/1 epoch (loss 1.4771):  60%|██████    | 756/1250 [04:20<02:43,  3.02it/s]
Training 1/1 epoch (loss 1.4771):  61%|██████    | 757/1250 [04:20<02:43,  3.01it/s]
Training 1/1 epoch (loss 1.4873):  61%|██████    | 757/1250 [04:20<02:43,  3.01it/s]
Training 1/1 epoch (loss 1.4873):  61%|██████    | 758/1250 [04:20<02:42,  3.03it/s]
Training 1/1 epoch (loss 1.6699):  61%|██████    | 758/1250 [04:20<02:42,  3.03it/s]
Training 1/1 epoch (loss 1.6699):  61%|██████    | 759/1250 [04:20<02:43,  3.01it/s]
Training 1/1 epoch (loss 1.3874):  61%|██████    | 759/1250 [04:21<02:43,  3.01it/s]
Training 1/1 epoch (loss 1.3874):  61%|██████    | 760/1250 [04:21<02:44,  2.98it/s]
Training 1/1 epoch (loss 1.4359):  61%|██████    | 760/1250 [04:21<02:44,  2.98it/s]
Training 1/1 epoch (loss 1.4359):  61%|██████    | 761/1250 [04:21<02:43,  2.99it/s]
Training 1/1 epoch (loss 1.5229):  61%|██████    | 761/1250 [04:21<02:43,  2.99it/s]
Training 1/1 epoch (loss 1.5229):  61%|██████    | 762/1250 [04:21<02:43,  2.98it/s]
Training 1/1 epoch (loss 1.5644):  61%|██████    | 762/1250 [04:22<02:43,  2.98it/s]
Training 1/1 epoch (loss 1.5644):  61%|██████    | 763/1250 [04:22<02:41,  3.01it/s]
Training 1/1 epoch (loss 1.4707):  61%|██████    | 763/1250 [04:22<02:41,  3.01it/s]
Training 1/1 epoch (loss 1.4707):  61%|██████    | 764/1250 [04:22<02:39,  3.04it/s]
Training 1/1 epoch (loss 1.6647):  61%|██████    | 764/1250 [04:22<02:39,  3.04it/s]
Training 1/1 epoch (loss 1.6647):  61%|██████    | 765/1250 [04:22<02:43,  2.98it/s]
Training 1/1 epoch (loss 1.4921):  61%|██████    | 765/1250 [04:23<02:43,  2.98it/s]
Training 1/1 epoch (loss 1.4921):  61%|██████▏   | 766/1250 [04:23<02:37,  3.08it/s]
Training 1/1 epoch (loss 1.5770):  61%|██████▏   | 766/1250 [04:23<02:37,  3.08it/s]
Training 1/1 epoch (loss 1.5770):  61%|██████▏   | 767/1250 [04:23<02:37,  3.06it/s]
Training 1/1 epoch (loss 1.4378):  61%|██████▏   | 767/1250 [04:23<02:37,  3.06it/s]
Training 1/1 epoch (loss 1.4378):  61%|██████▏   | 768/1250 [04:23<02:36,  3.08it/s]
Training 1/1 epoch (loss 1.4862):  61%|██████▏   | 768/1250 [04:24<02:36,  3.08it/s]
Training 1/1 epoch (loss 1.4862):  62%|██████▏   | 769/1250 [04:24<02:36,  3.08it/s]
Training 1/1 epoch (loss 1.5283):  62%|██████▏   | 769/1250 [04:24<02:36,  3.08it/s]
Training 1/1 epoch (loss 1.5283):  62%|██████▏   | 770/1250 [04:24<02:37,  3.04it/s]
Training 1/1 epoch (loss 1.4122):  62%|██████▏   | 770/1250 [04:24<02:37,  3.04it/s]
Training 1/1 epoch (loss 1.4122):  62%|██████▏   | 771/1250 [04:24<02:43,  2.94it/s]
Training 1/1 epoch (loss 1.5304):  62%|██████▏   | 771/1250 [04:25<02:43,  2.94it/s]
Training 1/1 epoch (loss 1.5304):  62%|██████▏   | 772/1250 [04:25<02:36,  3.06it/s]
Training 1/1 epoch (loss 1.5475):  62%|██████▏   | 772/1250 [04:25<02:36,  3.06it/s]
Training 1/1 epoch (loss 1.5475):  62%|██████▏   | 773/1250 [04:25<02:33,  3.12it/s]
Training 1/1 epoch (loss 1.4357):  62%|██████▏   | 773/1250 [04:25<02:33,  3.12it/s]
Training 1/1 epoch (loss 1.4357):  62%|██████▏   | 774/1250 [04:25<02:33,  3.10it/s]
Training 1/1 epoch (loss 1.6378):  62%|██████▏   | 774/1250 [04:26<02:33,  3.10it/s]
Training 1/1 epoch (loss 1.6378):  62%|██████▏   | 775/1250 [04:26<02:31,  3.13it/s]
Training 1/1 epoch (loss 1.4972):  62%|██████▏   | 775/1250 [04:26<02:31,  3.13it/s]
Training 1/1 epoch (loss 1.4972):  62%|██████▏   | 776/1250 [04:26<02:34,  3.06it/s]
Training 1/1 epoch (loss 1.4782):  62%|██████▏   | 776/1250 [04:26<02:34,  3.06it/s]
Training 1/1 epoch (loss 1.4782):  62%|██████▏   | 777/1250 [04:26<02:38,  2.99it/s]
Training 1/1 epoch (loss 1.6839):  62%|██████▏   | 777/1250 [04:27<02:38,  2.99it/s]
Training 1/1 epoch (loss 1.6839):  62%|██████▏   | 778/1250 [04:27<02:30,  3.13it/s]
Training 1/1 epoch (loss 1.5379):  62%|██████▏   | 778/1250 [04:27<02:30,  3.13it/s]
Training 1/1 epoch (loss 1.5379):  62%|██████▏   | 779/1250 [04:27<02:28,  3.17it/s]
Training 1/1 epoch (loss 1.5217):  62%|██████▏   | 779/1250 [04:27<02:28,  3.17it/s]
Training 1/1 epoch (loss 1.5217):  62%|██████▏   | 780/1250 [04:27<02:26,  3.20it/s]
Training 1/1 epoch (loss 1.6488):  62%|██████▏   | 780/1250 [04:28<02:26,  3.20it/s]
Training 1/1 epoch (loss 1.6488):  62%|██████▏   | 781/1250 [04:28<02:25,  3.22it/s]
Training 1/1 epoch (loss 1.4970):  62%|██████▏   | 781/1250 [04:28<02:25,  3.22it/s]
Training 1/1 epoch (loss 1.4970):  63%|██████▎   | 782/1250 [04:28<02:29,  3.13it/s]
Training 1/1 epoch (loss 1.5148):  63%|██████▎   | 782/1250 [04:28<02:29,  3.13it/s]
Training 1/1 epoch (loss 1.5148):  63%|██████▎   | 783/1250 [04:28<02:28,  3.15it/s]
Training 1/1 epoch (loss 1.6265):  63%|██████▎   | 783/1250 [04:29<02:28,  3.15it/s]
Training 1/1 epoch (loss 1.6265):  63%|██████▎   | 784/1250 [04:29<02:31,  3.08it/s]
Training 1/1 epoch (loss 1.5748):  63%|██████▎   | 784/1250 [04:29<02:31,  3.08it/s]
Training 1/1 epoch (loss 1.5748):  63%|██████▎   | 785/1250 [04:29<02:27,  3.16it/s]
Training 1/1 epoch (loss 1.5247):  63%|██████▎   | 785/1250 [04:29<02:27,  3.16it/s]
Training 1/1 epoch (loss 1.5247):  63%|██████▎   | 786/1250 [04:29<02:41,  2.88it/s]
Training 1/1 epoch (loss 1.5718):  63%|██████▎   | 786/1250 [04:30<02:41,  2.88it/s]
Training 1/1 epoch (loss 1.5718):  63%|██████▎   | 787/1250 [04:30<02:44,  2.81it/s]
Training 1/1 epoch (loss 1.5385):  63%|██████▎   | 787/1250 [04:30<02:44,  2.81it/s]
Training 1/1 epoch (loss 1.5385):  63%|██████▎   | 788/1250 [04:30<02:42,  2.85it/s]
Training 1/1 epoch (loss 1.5869):  63%|██████▎   | 788/1250 [04:30<02:42,  2.85it/s]
Training 1/1 epoch (loss 1.5869):  63%|██████▎   | 789/1250 [04:30<02:37,  2.93it/s]
Training 1/1 epoch (loss 1.5246):  63%|██████▎   | 789/1250 [04:31<02:37,  2.93it/s]
Training 1/1 epoch (loss 1.5246):  63%|██████▎   | 790/1250 [04:31<02:33,  3.00it/s]
Training 1/1 epoch (loss 1.5363):  63%|██████▎   | 790/1250 [04:31<02:33,  3.00it/s]
Training 1/1 epoch (loss 1.5363):  63%|██████▎   | 791/1250 [04:31<02:26,  3.14it/s]
Training 1/1 epoch (loss 1.5363):  63%|██████▎   | 791/1250 [04:31<02:26,  3.14it/s]
Training 1/1 epoch (loss 1.5363):  63%|██████▎   | 792/1250 [04:31<02:26,  3.12it/s]
Training 1/1 epoch (loss 1.5538):  63%|██████▎   | 792/1250 [04:32<02:26,  3.12it/s]
Training 1/1 epoch (loss 1.5538):  63%|██████▎   | 793/1250 [04:32<02:31,  3.01it/s]
Training 1/1 epoch (loss 1.5381):  63%|██████▎   | 793/1250 [04:32<02:31,  3.01it/s]
Training 1/1 epoch (loss 1.5381):  64%|██████▎   | 794/1250 [04:32<02:33,  2.98it/s]
Training 1/1 epoch (loss 1.5610):  64%|██████▎   | 794/1250 [04:32<02:33,  2.98it/s]
Training 1/1 epoch (loss 1.5610):  64%|██████▎   | 795/1250 [04:32<02:30,  3.02it/s]
Training 1/1 epoch (loss 1.5536):  64%|██████▎   | 795/1250 [04:33<02:30,  3.02it/s]
Training 1/1 epoch (loss 1.5536):  64%|██████▎   | 796/1250 [04:33<02:28,  3.06it/s]
Training 1/1 epoch (loss 1.6396):  64%|██████▎   | 796/1250 [04:33<02:28,  3.06it/s]
Training 1/1 epoch (loss 1.6396):  64%|██████▍   | 797/1250 [04:33<02:26,  3.09it/s]
Training 1/1 epoch (loss 1.6358):  64%|██████▍   | 797/1250 [04:33<02:26,  3.09it/s]
Training 1/1 epoch (loss 1.6358):  64%|██████▍   | 798/1250 [04:33<02:23,  3.14it/s]
Training 1/1 epoch (loss 1.5081):  64%|██████▍   | 798/1250 [04:34<02:23,  3.14it/s]
Training 1/1 epoch (loss 1.5081):  64%|██████▍   | 799/1250 [04:34<02:24,  3.12it/s]
Training 1/1 epoch (loss 1.5358):  64%|██████▍   | 799/1250 [04:34<02:24,  3.12it/s]
Training 1/1 epoch (loss 1.5358):  64%|██████▍   | 800/1250 [04:34<02:27,  3.04it/s]
Training 1/1 epoch (loss 1.6399):  64%|██████▍   | 800/1250 [04:34<02:27,  3.04it/s]
Training 1/1 epoch (loss 1.6399):  64%|██████▍   | 801/1250 [04:34<02:31,  2.96it/s]
Training 1/1 epoch (loss 1.5044):  64%|██████▍   | 801/1250 [04:35<02:31,  2.96it/s]
Training 1/1 epoch (loss 1.5044):  64%|██████▍   | 802/1250 [04:35<02:33,  2.91it/s]
Training 1/1 epoch (loss 1.6364):  64%|██████▍   | 802/1250 [04:35<02:33,  2.91it/s]
Training 1/1 epoch (loss 1.6364):  64%|██████▍   | 803/1250 [04:35<02:29,  3.00it/s]
Training 1/1 epoch (loss 1.6202):  64%|██████▍   | 803/1250 [04:35<02:29,  3.00it/s]
Training 1/1 epoch (loss 1.6202):  64%|██████▍   | 804/1250 [04:35<02:23,  3.11it/s]
Training 1/1 epoch (loss 1.5521):  64%|██████▍   | 804/1250 [04:35<02:23,  3.11it/s]
Training 1/1 epoch (loss 1.5521):  64%|██████▍   | 805/1250 [04:35<02:19,  3.18it/s]
Training 1/1 epoch (loss 1.5733):  64%|██████▍   | 805/1250 [04:36<02:19,  3.18it/s]
Training 1/1 epoch (loss 1.5733):  64%|██████▍   | 806/1250 [04:36<02:19,  3.19it/s]
Training 1/1 epoch (loss 1.4210):  64%|██████▍   | 806/1250 [04:36<02:19,  3.19it/s]
Training 1/1 epoch (loss 1.4210):  65%|██████▍   | 807/1250 [04:36<02:21,  3.14it/s]
Training 1/1 epoch (loss 1.4747):  65%|██████▍   | 807/1250 [04:36<02:21,  3.14it/s]
Training 1/1 epoch (loss 1.4747):  65%|██████▍   | 808/1250 [04:36<02:25,  3.04it/s]
Training 1/1 epoch (loss 1.4363):  65%|██████▍   | 808/1250 [04:37<02:25,  3.04it/s]
Training 1/1 epoch (loss 1.4363):  65%|██████▍   | 809/1250 [04:37<02:21,  3.12it/s]
Training 1/1 epoch (loss 1.5225):  65%|██████▍   | 809/1250 [04:37<02:21,  3.12it/s]
Training 1/1 epoch (loss 1.5225):  65%|██████▍   | 810/1250 [04:37<02:17,  3.19it/s]
Training 1/1 epoch (loss 1.4501):  65%|██████▍   | 810/1250 [04:37<02:17,  3.19it/s]
Training 1/1 epoch (loss 1.4501):  65%|██████▍   | 811/1250 [04:37<02:15,  3.25it/s]
Training 1/1 epoch (loss 1.5825):  65%|██████▍   | 811/1250 [04:38<02:15,  3.25it/s]
Training 1/1 epoch (loss 1.5825):  65%|██████▍   | 812/1250 [04:38<02:15,  3.23it/s]
Training 1/1 epoch (loss 1.6420):  65%|██████▍   | 812/1250 [04:38<02:15,  3.23it/s]
Training 1/1 epoch (loss 1.6420):  65%|██████▌   | 813/1250 [04:38<02:19,  3.14it/s]
Training 1/1 epoch (loss 1.7040):  65%|██████▌   | 813/1250 [04:38<02:19,  3.14it/s]
Training 1/1 epoch (loss 1.7040):  65%|██████▌   | 814/1250 [04:38<02:21,  3.07it/s]
Training 1/1 epoch (loss 1.5806):  65%|██████▌   | 814/1250 [04:39<02:21,  3.07it/s]
Training 1/1 epoch (loss 1.5806):  65%|██████▌   | 815/1250 [04:39<02:15,  3.22it/s]
Training 1/1 epoch (loss 1.4987):  65%|██████▌   | 815/1250 [04:39<02:15,  3.22it/s]
Training 1/1 epoch (loss 1.4987):  65%|██████▌   | 816/1250 [04:39<02:17,  3.16it/s]
Training 1/1 epoch (loss 1.5076):  65%|██████▌   | 816/1250 [04:39<02:17,  3.16it/s]
Training 1/1 epoch (loss 1.5076):  65%|██████▌   | 817/1250 [04:39<02:16,  3.18it/s]
Training 1/1 epoch (loss 1.5428):  65%|██████▌   | 817/1250 [04:40<02:16,  3.18it/s]
Training 1/1 epoch (loss 1.5428):  65%|██████▌   | 818/1250 [04:40<02:12,  3.26it/s]
Training 1/1 epoch (loss 1.4815):  65%|██████▌   | 818/1250 [04:40<02:12,  3.26it/s]
Training 1/1 epoch (loss 1.4815):  66%|██████▌   | 819/1250 [04:40<02:16,  3.16it/s]
Training 1/1 epoch (loss 1.5303):  66%|██████▌   | 819/1250 [04:40<02:16,  3.16it/s]
Training 1/1 epoch (loss 1.5303):  66%|██████▌   | 820/1250 [04:40<02:17,  3.13it/s]
Training 1/1 epoch (loss 1.4957):  66%|██████▌   | 820/1250 [04:41<02:17,  3.13it/s]
Training 1/1 epoch (loss 1.4957):  66%|██████▌   | 821/1250 [04:41<02:15,  3.17it/s]
Training 1/1 epoch (loss 1.5775):  66%|██████▌   | 821/1250 [04:41<02:15,  3.17it/s]
Training 1/1 epoch (loss 1.5775):  66%|██████▌   | 822/1250 [04:41<02:11,  3.26it/s]
Training 1/1 epoch (loss 1.4156):  66%|██████▌   | 822/1250 [04:41<02:11,  3.26it/s]
Training 1/1 epoch (loss 1.4156):  66%|██████▌   | 823/1250 [04:41<02:10,  3.27it/s]
Training 1/1 epoch (loss 1.5131):  66%|██████▌   | 823/1250 [04:41<02:10,  3.27it/s]
Training 1/1 epoch (loss 1.5131):  66%|██████▌   | 824/1250 [04:41<02:12,  3.22it/s]
Training 1/1 epoch (loss 1.5455):  66%|██████▌   | 824/1250 [04:42<02:12,  3.22it/s]
Training 1/1 epoch (loss 1.5455):  66%|██████▌   | 825/1250 [04:42<02:26,  2.90it/s]
Training 1/1 epoch (loss 1.5988):  66%|██████▌   | 825/1250 [04:42<02:26,  2.90it/s]
Training 1/1 epoch (loss 1.5988):  66%|██████▌   | 826/1250 [04:42<02:22,  2.97it/s]
Training 1/1 epoch (loss 1.4333):  66%|██████▌   | 826/1250 [04:43<02:22,  2.97it/s]
Training 1/1 epoch (loss 1.4333):  66%|██████▌   | 827/1250 [04:43<02:23,  2.94it/s]
Training 1/1 epoch (loss 1.4552):  66%|██████▌   | 827/1250 [04:43<02:23,  2.94it/s]
Training 1/1 epoch (loss 1.4552):  66%|██████▌   | 828/1250 [04:43<02:19,  3.03it/s]
Training 1/1 epoch (loss 1.5200):  66%|██████▌   | 828/1250 [04:43<02:19,  3.03it/s]
Training 1/1 epoch (loss 1.5200):  66%|██████▋   | 829/1250 [04:43<02:15,  3.11it/s]
Training 1/1 epoch (loss 1.4884):  66%|██████▋   | 829/1250 [04:43<02:15,  3.11it/s]
Training 1/1 epoch (loss 1.4884):  66%|██████▋   | 830/1250 [04:43<02:12,  3.17it/s]
Training 1/1 epoch (loss 1.4938):  66%|██████▋   | 830/1250 [04:44<02:12,  3.17it/s]
Training 1/1 epoch (loss 1.4938):  66%|██████▋   | 831/1250 [04:44<02:11,  3.19it/s]
Training 1/1 epoch (loss 1.4009):  66%|██████▋   | 831/1250 [04:44<02:11,  3.19it/s]
Training 1/1 epoch (loss 1.4009):  67%|██████▋   | 832/1250 [04:44<02:14,  3.12it/s]
Training 1/1 epoch (loss 1.6065):  67%|██████▋   | 832/1250 [04:44<02:14,  3.12it/s]
Training 1/1 epoch (loss 1.6065):  67%|██████▋   | 833/1250 [04:44<02:21,  2.95it/s]
Training 1/1 epoch (loss 1.5781):  67%|██████▋   | 833/1250 [04:45<02:21,  2.95it/s]
Training 1/1 epoch (loss 1.5781):  67%|██████▋   | 834/1250 [04:45<02:16,  3.05it/s]
Training 1/1 epoch (loss 1.5358):  67%|██████▋   | 834/1250 [04:45<02:16,  3.05it/s]
Training 1/1 epoch (loss 1.5358):  67%|██████▋   | 835/1250 [04:45<02:20,  2.95it/s]
Training 1/1 epoch (loss 1.6046):  67%|██████▋   | 835/1250 [04:45<02:20,  2.95it/s]
Training 1/1 epoch (loss 1.6046):  67%|██████▋   | 836/1250 [04:45<02:16,  3.04it/s]
Training 1/1 epoch (loss 1.4452):  67%|██████▋   | 836/1250 [04:46<02:16,  3.04it/s]
Training 1/1 epoch (loss 1.4452):  67%|██████▋   | 837/1250 [04:46<02:11,  3.14it/s]
Training 1/1 epoch (loss 1.3903):  67%|██████▋   | 837/1250 [04:46<02:11,  3.14it/s]
Training 1/1 epoch (loss 1.3903):  67%|██████▋   | 838/1250 [04:46<02:15,  3.05it/s]
Training 1/1 epoch (loss 1.5863):  67%|██████▋   | 838/1250 [04:46<02:15,  3.05it/s]
Training 1/1 epoch (loss 1.5863):  67%|██████▋   | 839/1250 [04:46<02:13,  3.08it/s]
Training 1/1 epoch (loss 1.4333):  67%|██████▋   | 839/1250 [04:47<02:13,  3.08it/s]
Training 1/1 epoch (loss 1.4333):  67%|██████▋   | 840/1250 [04:47<02:11,  3.11it/s]
Training 1/1 epoch (loss 1.5048):  67%|██████▋   | 840/1250 [04:47<02:11,  3.11it/s]
Training 1/1 epoch (loss 1.5048):  67%|██████▋   | 841/1250 [04:47<02:09,  3.16it/s]
Training 1/1 epoch (loss 1.5996):  67%|██████▋   | 841/1250 [04:47<02:09,  3.16it/s]
Training 1/1 epoch (loss 1.5996):  67%|██████▋   | 842/1250 [04:47<02:09,  3.15it/s]
Training 1/1 epoch (loss 1.6154):  67%|██████▋   | 842/1250 [04:48<02:09,  3.15it/s]
Training 1/1 epoch (loss 1.6154):  67%|██████▋   | 843/1250 [04:48<02:08,  3.17it/s]
Training 1/1 epoch (loss 1.6039):  67%|██████▋   | 843/1250 [04:48<02:08,  3.17it/s]
Training 1/1 epoch (loss 1.6039):  68%|██████▊   | 844/1250 [04:48<02:07,  3.18it/s]
Training 1/1 epoch (loss 1.4767):  68%|██████▊   | 844/1250 [04:48<02:07,  3.18it/s]
Training 1/1 epoch (loss 1.4767):  68%|██████▊   | 845/1250 [04:48<02:08,  3.14it/s]
Training 1/1 epoch (loss 1.7192):  68%|██████▊   | 845/1250 [04:49<02:08,  3.14it/s]
Training 1/1 epoch (loss 1.7192):  68%|██████▊   | 846/1250 [04:49<02:07,  3.18it/s]
Training 1/1 epoch (loss 1.5316):  68%|██████▊   | 846/1250 [04:49<02:07,  3.18it/s]
Training 1/1 epoch (loss 1.5316):  68%|██████▊   | 847/1250 [04:49<02:04,  3.23it/s]
Training 1/1 epoch (loss 1.6052):  68%|██████▊   | 847/1250 [04:49<02:04,  3.23it/s]
Training 1/1 epoch (loss 1.6052):  68%|██████▊   | 848/1250 [04:49<02:08,  3.14it/s]
Training 1/1 epoch (loss 1.5869):  68%|██████▊   | 848/1250 [04:50<02:08,  3.14it/s]
Training 1/1 epoch (loss 1.5869):  68%|██████▊   | 849/1250 [04:50<02:08,  3.12it/s]
Training 1/1 epoch (loss 1.4886):  68%|██████▊   | 849/1250 [04:50<02:08,  3.12it/s]
Training 1/1 epoch (loss 1.4886):  68%|██████▊   | 850/1250 [04:50<02:07,  3.15it/s]
Training 1/1 epoch (loss 1.5364):  68%|██████▊   | 850/1250 [04:50<02:07,  3.15it/s]
Training 1/1 epoch (loss 1.5364):  68%|██████▊   | 851/1250 [04:50<02:12,  3.00it/s]
Training 1/1 epoch (loss 1.6339):  68%|██████▊   | 851/1250 [04:51<02:12,  3.00it/s]
Training 1/1 epoch (loss 1.6339):  68%|██████▊   | 852/1250 [04:51<02:09,  3.07it/s]
Training 1/1 epoch (loss 1.4726):  68%|██████▊   | 852/1250 [04:51<02:09,  3.07it/s]
Training 1/1 epoch (loss 1.4726):  68%|██████▊   | 853/1250 [04:51<02:07,  3.12it/s]
Training 1/1 epoch (loss 1.5097):  68%|██████▊   | 853/1250 [04:51<02:07,  3.12it/s]
Training 1/1 epoch (loss 1.5097):  68%|██████▊   | 854/1250 [04:51<02:04,  3.18it/s]
Training 1/1 epoch (loss 1.5988):  68%|██████▊   | 854/1250 [04:52<02:04,  3.18it/s]
Training 1/1 epoch (loss 1.5988):  68%|██████▊   | 855/1250 [04:52<02:09,  3.06it/s]
Training 1/1 epoch (loss 1.6620):  68%|██████▊   | 855/1250 [04:52<02:09,  3.06it/s]
Training 1/1 epoch (loss 1.6620):  68%|██████▊   | 856/1250 [04:52<02:14,  2.93it/s]
Training 1/1 epoch (loss 1.5514):  68%|██████▊   | 856/1250 [04:52<02:14,  2.93it/s]
Training 1/1 epoch (loss 1.5514):  69%|██████▊   | 857/1250 [04:52<02:15,  2.90it/s]
Training 1/1 epoch (loss 1.4706):  69%|██████▊   | 857/1250 [04:53<02:15,  2.90it/s]
Training 1/1 epoch (loss 1.4706):  69%|██████▊   | 858/1250 [04:53<02:12,  2.95it/s]
Training 1/1 epoch (loss 1.5011):  69%|██████▊   | 858/1250 [04:53<02:12,  2.95it/s]
Training 1/1 epoch (loss 1.5011):  69%|██████▊   | 859/1250 [04:53<02:09,  3.03it/s]
Training 1/1 epoch (loss 1.6174):  69%|██████▊   | 859/1250 [04:53<02:09,  3.03it/s]
Training 1/1 epoch (loss 1.6174):  69%|██████▉   | 860/1250 [04:53<02:05,  3.12it/s]
Training 1/1 epoch (loss 1.5749):  69%|██████▉   | 860/1250 [04:53<02:05,  3.12it/s]
Training 1/1 epoch (loss 1.5749):  69%|██████▉   | 861/1250 [04:53<02:03,  3.16it/s]
Training 1/1 epoch (loss 1.5075):  69%|██████▉   | 861/1250 [04:54<02:03,  3.16it/s]
Training 1/1 epoch (loss 1.5075):  69%|██████▉   | 862/1250 [04:54<02:04,  3.11it/s]
Training 1/1 epoch (loss 1.5597):  69%|██████▉   | 862/1250 [04:54<02:04,  3.11it/s]
Training 1/1 epoch (loss 1.5597):  69%|██████▉   | 863/1250 [04:54<02:03,  3.13it/s]
Training 1/1 epoch (loss 1.5604):  69%|██████▉   | 863/1250 [04:54<02:03,  3.13it/s]
Training 1/1 epoch (loss 1.5604):  69%|██████▉   | 864/1250 [04:54<02:06,  3.06it/s]
Training 1/1 epoch (loss 1.3939):  69%|██████▉   | 864/1250 [04:55<02:06,  3.06it/s]
Training 1/1 epoch (loss 1.3939):  69%|██████▉   | 865/1250 [04:55<02:04,  3.10it/s]
Training 1/1 epoch (loss 1.4725):  69%|██████▉   | 865/1250 [04:55<02:04,  3.10it/s]
Training 1/1 epoch (loss 1.4725):  69%|██████▉   | 866/1250 [04:55<02:00,  3.18it/s]
Training 1/1 epoch (loss 1.5243):  69%|██████▉   | 866/1250 [04:55<02:00,  3.18it/s]
Training 1/1 epoch (loss 1.5243):  69%|██████▉   | 867/1250 [04:55<01:59,  3.22it/s]
Training 1/1 epoch (loss 1.6171):  69%|██████▉   | 867/1250 [04:56<01:59,  3.22it/s]
Training 1/1 epoch (loss 1.6171):  69%|██████▉   | 868/1250 [04:56<01:58,  3.23it/s]
Training 1/1 epoch (loss 1.6152):  69%|██████▉   | 868/1250 [04:56<01:58,  3.23it/s]
Training 1/1 epoch (loss 1.6152):  70%|██████▉   | 869/1250 [04:56<01:58,  3.22it/s]
Training 1/1 epoch (loss 1.6057):  70%|██████▉   | 869/1250 [04:56<01:58,  3.22it/s]
Training 1/1 epoch (loss 1.6057):  70%|██████▉   | 870/1250 [04:56<02:00,  3.15it/s]
Training 1/1 epoch (loss 1.4954):  70%|██████▉   | 870/1250 [04:57<02:00,  3.15it/s]
Training 1/1 epoch (loss 1.4954):  70%|██████▉   | 871/1250 [04:57<01:58,  3.19it/s]
Training 1/1 epoch (loss 1.4014):  70%|██████▉   | 871/1250 [04:57<01:58,  3.19it/s]
Training 1/1 epoch (loss 1.4014):  70%|██████▉   | 872/1250 [04:57<01:59,  3.16it/s]
Training 1/1 epoch (loss 1.5711):  70%|██████▉   | 872/1250 [04:57<01:59,  3.16it/s]
Training 1/1 epoch (loss 1.5711):  70%|██████▉   | 873/1250 [04:57<01:58,  3.17it/s]
Training 1/1 epoch (loss 1.6424):  70%|██████▉   | 873/1250 [04:58<01:58,  3.17it/s]
Training 1/1 epoch (loss 1.6424):  70%|██████▉   | 874/1250 [04:58<01:58,  3.17it/s]
Training 1/1 epoch (loss 1.4240):  70%|██████▉   | 874/1250 [04:58<01:58,  3.17it/s]
Training 1/1 epoch (loss 1.4240):  70%|███████   | 875/1250 [04:58<01:56,  3.22it/s]
Training 1/1 epoch (loss 1.5732):  70%|███████   | 875/1250 [04:58<01:56,  3.22it/s]
Training 1/1 epoch (loss 1.5732):  70%|███████   | 876/1250 [04:58<01:56,  3.21it/s]
Training 1/1 epoch (loss 1.6116):  70%|███████   | 876/1250 [04:59<01:56,  3.21it/s]
Training 1/1 epoch (loss 1.6116):  70%|███████   | 877/1250 [04:59<01:58,  3.14it/s]
Training 1/1 epoch (loss 1.4791):  70%|███████   | 877/1250 [04:59<01:58,  3.14it/s]
Training 1/1 epoch (loss 1.4791):  70%|███████   | 878/1250 [04:59<01:56,  3.21it/s]
Training 1/1 epoch (loss 1.5430):  70%|███████   | 878/1250 [04:59<01:56,  3.21it/s]
Training 1/1 epoch (loss 1.5430):  70%|███████   | 879/1250 [04:59<01:54,  3.24it/s]
Training 1/1 epoch (loss 1.5690):  70%|███████   | 879/1250 [05:00<01:54,  3.24it/s]
Training 1/1 epoch (loss 1.5690):  70%|███████   | 880/1250 [05:00<02:12,  2.80it/s]
Training 1/1 epoch (loss 1.4871):  70%|███████   | 880/1250 [05:00<02:12,  2.80it/s]
Training 1/1 epoch (loss 1.4871):  70%|███████   | 881/1250 [05:00<02:06,  2.92it/s]
Training 1/1 epoch (loss 1.4610):  70%|███████   | 881/1250 [05:00<02:06,  2.92it/s]
Training 1/1 epoch (loss 1.4610):  71%|███████   | 882/1250 [05:00<02:06,  2.92it/s]
Training 1/1 epoch (loss 1.4793):  71%|███████   | 882/1250 [05:01<02:06,  2.92it/s]
Training 1/1 epoch (loss 1.4793):  71%|███████   | 883/1250 [05:01<02:01,  3.01it/s]
Training 1/1 epoch (loss 1.5542):  71%|███████   | 883/1250 [05:01<02:01,  3.01it/s]
Training 1/1 epoch (loss 1.5542):  71%|███████   | 884/1250 [05:01<02:02,  3.00it/s]
Training 1/1 epoch (loss 1.4983):  71%|███████   | 884/1250 [05:01<02:02,  3.00it/s]
Training 1/1 epoch (loss 1.4983):  71%|███████   | 885/1250 [05:01<01:58,  3.07it/s]
Training 1/1 epoch (loss 1.5561):  71%|███████   | 885/1250 [05:02<01:58,  3.07it/s]
Training 1/1 epoch (loss 1.5561):  71%|███████   | 886/1250 [05:02<01:58,  3.08it/s]
Training 1/1 epoch (loss 1.4674):  71%|███████   | 886/1250 [05:02<01:58,  3.08it/s]
Training 1/1 epoch (loss 1.4674):  71%|███████   | 887/1250 [05:02<01:56,  3.11it/s]
Training 1/1 epoch (loss 1.4388):  71%|███████   | 887/1250 [05:02<01:56,  3.11it/s]
Training 1/1 epoch (loss 1.4388):  71%|███████   | 888/1250 [05:02<02:03,  2.94it/s]
Training 1/1 epoch (loss 1.5322):  71%|███████   | 888/1250 [05:03<02:03,  2.94it/s]
Training 1/1 epoch (loss 1.5322):  71%|███████   | 889/1250 [05:03<02:01,  2.97it/s]
Training 1/1 epoch (loss 1.6113):  71%|███████   | 889/1250 [05:03<02:01,  2.97it/s]
Training 1/1 epoch (loss 1.6113):  71%|███████   | 890/1250 [05:03<01:59,  3.02it/s]
Training 1/1 epoch (loss 1.4490):  71%|███████   | 890/1250 [05:03<01:59,  3.02it/s]
Training 1/1 epoch (loss 1.4490):  71%|███████▏  | 891/1250 [05:03<01:55,  3.10it/s]
Training 1/1 epoch (loss 1.5376):  71%|███████▏  | 891/1250 [05:03<01:55,  3.10it/s]
Training 1/1 epoch (loss 1.5376):  71%|███████▏  | 892/1250 [05:03<01:52,  3.17it/s]
Training 1/1 epoch (loss 1.4771):  71%|███████▏  | 892/1250 [05:04<01:52,  3.17it/s]
Training 1/1 epoch (loss 1.4771):  71%|███████▏  | 893/1250 [05:04<01:54,  3.12it/s]
Training 1/1 epoch (loss 1.3834):  71%|███████▏  | 893/1250 [05:04<01:54,  3.12it/s]
Training 1/1 epoch (loss 1.3834):  72%|███████▏  | 894/1250 [05:04<01:54,  3.12it/s]
Training 1/1 epoch (loss 1.5614):  72%|███████▏  | 894/1250 [05:04<01:54,  3.12it/s]
Training 1/1 epoch (loss 1.5614):  72%|███████▏  | 895/1250 [05:04<01:55,  3.08it/s]
Training 1/1 epoch (loss 1.6370):  72%|███████▏  | 895/1250 [05:05<01:55,  3.08it/s]
Training 1/1 epoch (loss 1.6370):  72%|███████▏  | 896/1250 [05:05<01:55,  3.07it/s]
Training 1/1 epoch (loss 1.5142):  72%|███████▏  | 896/1250 [05:05<01:55,  3.07it/s]
Training 1/1 epoch (loss 1.5142):  72%|███████▏  | 897/1250 [05:05<01:52,  3.14it/s]
Training 1/1 epoch (loss 1.5525):  72%|███████▏  | 897/1250 [05:05<01:52,  3.14it/s]
Training 1/1 epoch (loss 1.5525):  72%|███████▏  | 898/1250 [05:05<01:51,  3.15it/s]
Training 1/1 epoch (loss 1.5946):  72%|███████▏  | 898/1250 [05:06<01:51,  3.15it/s]
Training 1/1 epoch (loss 1.5946):  72%|███████▏  | 899/1250 [05:06<01:48,  3.23it/s]
Training 1/1 epoch (loss 1.6162):  72%|███████▏  | 899/1250 [05:06<01:48,  3.23it/s]
Training 1/1 epoch (loss 1.6162):  72%|███████▏  | 900/1250 [05:06<01:54,  3.05it/s]
Training 1/1 epoch (loss 1.4959):  72%|███████▏  | 900/1250 [05:06<01:54,  3.05it/s]
Training 1/1 epoch (loss 1.4959):  72%|███████▏  | 901/1250 [05:06<01:56,  3.00it/s]
Training 1/1 epoch (loss 1.5590):  72%|███████▏  | 901/1250 [05:07<01:56,  3.00it/s]
Training 1/1 epoch (loss 1.5590):  72%|███████▏  | 902/1250 [05:07<01:52,  3.10it/s]
Training 1/1 epoch (loss 1.5183):  72%|███████▏  | 902/1250 [05:07<01:52,  3.10it/s]
Training 1/1 epoch (loss 1.5183):  72%|███████▏  | 903/1250 [05:07<01:50,  3.15it/s]
Training 1/1 epoch (loss 1.5360):  72%|███████▏  | 903/1250 [05:07<01:50,  3.15it/s]
Training 1/1 epoch (loss 1.5360):  72%|███████▏  | 904/1250 [05:07<01:49,  3.16it/s]
Training 1/1 epoch (loss 1.5303):  72%|███████▏  | 904/1250 [05:08<01:49,  3.16it/s]
Training 1/1 epoch (loss 1.5303):  72%|███████▏  | 905/1250 [05:08<01:50,  3.13it/s]
Training 1/1 epoch (loss 1.4621):  72%|███████▏  | 905/1250 [05:08<01:50,  3.13it/s]
Training 1/1 epoch (loss 1.4621):  72%|███████▏  | 906/1250 [05:08<01:51,  3.08it/s]
Training 1/1 epoch (loss 1.5248):  72%|███████▏  | 906/1250 [05:08<01:51,  3.08it/s]
Training 1/1 epoch (loss 1.5248):  73%|███████▎  | 907/1250 [05:08<01:50,  3.09it/s]
Training 1/1 epoch (loss 1.6044):  73%|███████▎  | 907/1250 [05:09<01:50,  3.09it/s]
Training 1/1 epoch (loss 1.6044):  73%|███████▎  | 908/1250 [05:09<01:51,  3.06it/s]
Training 1/1 epoch (loss 1.5584):  73%|███████▎  | 908/1250 [05:09<01:51,  3.06it/s]
Training 1/1 epoch (loss 1.5584):  73%|███████▎  | 909/1250 [05:09<01:48,  3.13it/s]
Training 1/1 epoch (loss 1.5289):  73%|███████▎  | 909/1250 [05:09<01:48,  3.13it/s]
Training 1/1 epoch (loss 1.5289):  73%|███████▎  | 910/1250 [05:09<01:46,  3.18it/s]
Training 1/1 epoch (loss 1.5895):  73%|███████▎  | 910/1250 [05:10<01:46,  3.18it/s]
Training 1/1 epoch (loss 1.5895):  73%|███████▎  | 911/1250 [05:10<01:50,  3.08it/s]
Training 1/1 epoch (loss 1.5291):  73%|███████▎  | 911/1250 [05:10<01:50,  3.08it/s]
Training 1/1 epoch (loss 1.5291):  73%|███████▎  | 912/1250 [05:10<01:55,  2.93it/s]
Training 1/1 epoch (loss 1.5648):  73%|███████▎  | 912/1250 [05:10<01:55,  2.93it/s]
Training 1/1 epoch (loss 1.5648):  73%|███████▎  | 913/1250 [05:10<02:02,  2.75it/s]
Training 1/1 epoch (loss 1.5342):  73%|███████▎  | 913/1250 [05:11<02:02,  2.75it/s]
Training 1/1 epoch (loss 1.5342):  73%|███████▎  | 914/1250 [05:11<01:55,  2.90it/s]
Training 1/1 epoch (loss 1.4782):  73%|███████▎  | 914/1250 [05:11<01:55,  2.90it/s]
Training 1/1 epoch (loss 1.4782):  73%|███████▎  | 915/1250 [05:11<01:52,  2.99it/s]
Training 1/1 epoch (loss 1.4819):  73%|███████▎  | 915/1250 [05:11<01:52,  2.99it/s]
Training 1/1 epoch (loss 1.4819):  73%|███████▎  | 916/1250 [05:11<01:57,  2.84it/s]
Training 1/1 epoch (loss 1.5668):  73%|███████▎  | 916/1250 [05:12<01:57,  2.84it/s]
Training 1/1 epoch (loss 1.5668):  73%|███████▎  | 917/1250 [05:12<01:54,  2.92it/s]
Training 1/1 epoch (loss 1.5875):  73%|███████▎  | 917/1250 [05:12<01:54,  2.92it/s]
Training 1/1 epoch (loss 1.5875):  73%|███████▎  | 918/1250 [05:12<01:50,  3.01it/s]
Training 1/1 epoch (loss 1.5592):  73%|███████▎  | 918/1250 [05:12<01:50,  3.01it/s]
Training 1/1 epoch (loss 1.5592):  74%|███████▎  | 919/1250 [05:12<01:56,  2.85it/s]
Training 1/1 epoch (loss 1.6008):  74%|███████▎  | 919/1250 [05:13<01:56,  2.85it/s]
Training 1/1 epoch (loss 1.6008):  74%|███████▎  | 920/1250 [05:13<01:54,  2.87it/s]
Training 1/1 epoch (loss 1.5358):  74%|███████▎  | 920/1250 [05:13<01:54,  2.87it/s]
Training 1/1 epoch (loss 1.5358):  74%|███████▎  | 921/1250 [05:13<01:50,  2.97it/s]
Training 1/1 epoch (loss 1.6106):  74%|███████▎  | 921/1250 [05:13<01:50,  2.97it/s]
Training 1/1 epoch (loss 1.6106):  74%|███████▍  | 922/1250 [05:13<01:48,  3.02it/s]
Training 1/1 epoch (loss 1.4685):  74%|███████▍  | 922/1250 [05:14<01:48,  3.02it/s]
Training 1/1 epoch (loss 1.4685):  74%|███████▍  | 923/1250 [05:14<01:45,  3.10it/s]
Training 1/1 epoch (loss 1.6671):  74%|███████▍  | 923/1250 [05:14<01:45,  3.10it/s]
Training 1/1 epoch (loss 1.6671):  74%|███████▍  | 924/1250 [05:14<01:43,  3.14it/s]
Training 1/1 epoch (loss 1.5343):  74%|███████▍  | 924/1250 [05:14<01:43,  3.14it/s]
Training 1/1 epoch (loss 1.5343):  74%|███████▍  | 925/1250 [05:14<01:46,  3.04it/s]
Training 1/1 epoch (loss 1.4507):  74%|███████▍  | 925/1250 [05:15<01:46,  3.04it/s]
Training 1/1 epoch (loss 1.4507):  74%|███████▍  | 926/1250 [05:15<01:43,  3.14it/s]
Training 1/1 epoch (loss 1.5125):  74%|███████▍  | 926/1250 [05:15<01:43,  3.14it/s]
Training 1/1 epoch (loss 1.5125):  74%|███████▍  | 927/1250 [05:15<01:42,  3.16it/s]
Training 1/1 epoch (loss 1.4777):  74%|███████▍  | 927/1250 [05:15<01:42,  3.16it/s]
Training 1/1 epoch (loss 1.4777):  74%|███████▍  | 928/1250 [05:15<01:43,  3.11it/s]
Training 1/1 epoch (loss 1.4645):  74%|███████▍  | 928/1250 [05:16<01:43,  3.11it/s]
Training 1/1 epoch (loss 1.4645):  74%|███████▍  | 929/1250 [05:16<01:43,  3.11it/s]
Training 1/1 epoch (loss 1.5281):  74%|███████▍  | 929/1250 [05:16<01:43,  3.11it/s]
Training 1/1 epoch (loss 1.5281):  74%|███████▍  | 930/1250 [05:16<01:41,  3.17it/s]
Training 1/1 epoch (loss 1.6200):  74%|███████▍  | 930/1250 [05:16<01:41,  3.17it/s]
Training 1/1 epoch (loss 1.6200):  74%|███████▍  | 931/1250 [05:16<01:40,  3.17it/s]
Training 1/1 epoch (loss 1.6711):  74%|███████▍  | 931/1250 [05:17<01:40,  3.17it/s]
Training 1/1 epoch (loss 1.6711):  75%|███████▍  | 932/1250 [05:17<01:44,  3.04it/s]
Training 1/1 epoch (loss 1.5022):  75%|███████▍  | 932/1250 [05:17<01:44,  3.04it/s]
Training 1/1 epoch (loss 1.5022):  75%|███████▍  | 933/1250 [05:17<01:42,  3.09it/s]
Training 1/1 epoch (loss 1.4835):  75%|███████▍  | 933/1250 [05:17<01:42,  3.09it/s]
Training 1/1 epoch (loss 1.4835):  75%|███████▍  | 934/1250 [05:17<01:41,  3.10it/s]
Training 1/1 epoch (loss 1.4880):  75%|███████▍  | 934/1250 [05:18<01:41,  3.10it/s]
Training 1/1 epoch (loss 1.4880):  75%|███████▍  | 935/1250 [05:18<01:40,  3.14it/s]
Training 1/1 epoch (loss 1.4890):  75%|███████▍  | 935/1250 [05:18<01:40,  3.14it/s]
Training 1/1 epoch (loss 1.4890):  75%|███████▍  | 936/1250 [05:18<01:41,  3.10it/s]
Training 1/1 epoch (loss 1.5871):  75%|███████▍  | 936/1250 [05:18<01:41,  3.10it/s]
Training 1/1 epoch (loss 1.5871):  75%|███████▍  | 937/1250 [05:18<01:43,  3.03it/s]
Training 1/1 epoch (loss 1.4271):  75%|███████▍  | 937/1250 [05:19<01:43,  3.03it/s]
Training 1/1 epoch (loss 1.4271):  75%|███████▌  | 938/1250 [05:19<01:40,  3.11it/s]
Training 1/1 epoch (loss 1.6059):  75%|███████▌  | 938/1250 [05:19<01:40,  3.11it/s]
Training 1/1 epoch (loss 1.6059):  75%|███████▌  | 939/1250 [05:19<01:40,  3.09it/s]
Training 1/1 epoch (loss 1.6016):  75%|███████▌  | 939/1250 [05:19<01:40,  3.09it/s]
Training 1/1 epoch (loss 1.6016):  75%|███████▌  | 940/1250 [05:19<01:37,  3.17it/s]
Training 1/1 epoch (loss 1.6302):  75%|███████▌  | 940/1250 [05:19<01:37,  3.17it/s]
Training 1/1 epoch (loss 1.6302):  75%|███████▌  | 941/1250 [05:19<01:36,  3.20it/s]
Training 1/1 epoch (loss 1.4554):  75%|███████▌  | 941/1250 [05:20<01:36,  3.20it/s]
Training 1/1 epoch (loss 1.4554):  75%|███████▌  | 942/1250 [05:20<01:38,  3.14it/s]
Training 1/1 epoch (loss 1.4011):  75%|███████▌  | 942/1250 [05:20<01:38,  3.14it/s]
Training 1/1 epoch (loss 1.4011):  75%|███████▌  | 943/1250 [05:20<01:38,  3.10it/s]
Training 1/1 epoch (loss 1.5023):  75%|███████▌  | 943/1250 [05:20<01:38,  3.10it/s]
Training 1/1 epoch (loss 1.5023):  76%|███████▌  | 944/1250 [05:20<01:40,  3.04it/s]
Training 1/1 epoch (loss 1.5837):  76%|███████▌  | 944/1250 [05:21<01:40,  3.04it/s]
Training 1/1 epoch (loss 1.5837):  76%|███████▌  | 945/1250 [05:21<01:38,  3.08it/s]
Training 1/1 epoch (loss 1.5377):  76%|███████▌  | 945/1250 [05:21<01:38,  3.08it/s]
Training 1/1 epoch (loss 1.5377):  76%|███████▌  | 946/1250 [05:21<01:36,  3.14it/s]
Training 1/1 epoch (loss 1.5812):  76%|███████▌  | 946/1250 [05:21<01:36,  3.14it/s]
Training 1/1 epoch (loss 1.5812):  76%|███████▌  | 947/1250 [05:21<01:33,  3.23it/s]
Training 1/1 epoch (loss 1.4544):  76%|███████▌  | 947/1250 [05:22<01:33,  3.23it/s]
Training 1/1 epoch (loss 1.4544):  76%|███████▌  | 948/1250 [05:22<01:37,  3.11it/s]
Training 1/1 epoch (loss 1.5271):  76%|███████▌  | 948/1250 [05:22<01:37,  3.11it/s]
Training 1/1 epoch (loss 1.5271):  76%|███████▌  | 949/1250 [05:22<01:39,  3.03it/s]
Training 1/1 epoch (loss 1.6679):  76%|███████▌  | 949/1250 [05:22<01:39,  3.03it/s]
Training 1/1 epoch (loss 1.6679):  76%|███████▌  | 950/1250 [05:22<01:38,  3.04it/s]
Training 1/1 epoch (loss 1.5736):  76%|███████▌  | 950/1250 [05:23<01:38,  3.04it/s]
Training 1/1 epoch (loss 1.5736):  76%|███████▌  | 951/1250 [05:23<01:43,  2.88it/s]
Training 1/1 epoch (loss 1.4502):  76%|███████▌  | 951/1250 [05:23<01:43,  2.88it/s]
Training 1/1 epoch (loss 1.4502):  76%|███████▌  | 952/1250 [05:23<01:41,  2.95it/s]
Training 1/1 epoch (loss 1.4816):  76%|███████▌  | 952/1250 [05:23<01:41,  2.95it/s]
Training 1/1 epoch (loss 1.4816):  76%|███████▌  | 953/1250 [05:23<01:38,  3.01it/s]
Training 1/1 epoch (loss 1.6781):  76%|███████▌  | 953/1250 [05:24<01:38,  3.01it/s]
Training 1/1 epoch (loss 1.6781):  76%|███████▋  | 954/1250 [05:24<01:35,  3.09it/s]
Training 1/1 epoch (loss 1.5696):  76%|███████▋  | 954/1250 [05:24<01:35,  3.09it/s]
Training 1/1 epoch (loss 1.5696):  76%|███████▋  | 955/1250 [05:24<01:33,  3.15it/s]
Training 1/1 epoch (loss 1.5603):  76%|███████▋  | 955/1250 [05:24<01:33,  3.15it/s]
Training 1/1 epoch (loss 1.5603):  76%|███████▋  | 956/1250 [05:24<01:33,  3.13it/s]
Training 1/1 epoch (loss 1.5149):  76%|███████▋  | 956/1250 [05:25<01:33,  3.13it/s]
Training 1/1 epoch (loss 1.5149):  77%|███████▋  | 957/1250 [05:25<01:33,  3.15it/s]
Training 1/1 epoch (loss 1.4539):  77%|███████▋  | 957/1250 [05:25<01:33,  3.15it/s]
Training 1/1 epoch (loss 1.4539):  77%|███████▋  | 958/1250 [05:25<01:31,  3.18it/s]
Training 1/1 epoch (loss 1.4160):  77%|███████▋  | 958/1250 [05:25<01:31,  3.18it/s]
Training 1/1 epoch (loss 1.4160):  77%|███████▋  | 959/1250 [05:25<01:29,  3.24it/s]
Training 1/1 epoch (loss 1.5162):  77%|███████▋  | 959/1250 [05:26<01:29,  3.24it/s]
Training 1/1 epoch (loss 1.5162):  77%|███████▋  | 960/1250 [05:26<01:30,  3.20it/s]
Training 1/1 epoch (loss 1.5933):  77%|███████▋  | 960/1250 [05:26<01:30,  3.20it/s]
Training 1/1 epoch (loss 1.5933):  77%|███████▋  | 961/1250 [05:26<01:31,  3.17it/s]
Training 1/1 epoch (loss 1.6407):  77%|███████▋  | 961/1250 [05:26<01:31,  3.17it/s]
Training 1/1 epoch (loss 1.6407):  77%|███████▋  | 962/1250 [05:26<01:31,  3.16it/s]
Training 1/1 epoch (loss 1.4632):  77%|███████▋  | 962/1250 [05:27<01:31,  3.16it/s]
Training 1/1 epoch (loss 1.4632):  77%|███████▋  | 963/1250 [05:27<01:30,  3.16it/s]
Training 1/1 epoch (loss 1.5920):  77%|███████▋  | 963/1250 [05:27<01:30,  3.16it/s]
Training 1/1 epoch (loss 1.5920):  77%|███████▋  | 964/1250 [05:27<01:29,  3.19it/s]
Training 1/1 epoch (loss 1.5674):  77%|███████▋  | 964/1250 [05:27<01:29,  3.19it/s]
Training 1/1 epoch (loss 1.5674):  77%|███████▋  | 965/1250 [05:27<01:32,  3.10it/s]
Training 1/1 epoch (loss 1.4878):  77%|███████▋  | 965/1250 [05:28<01:32,  3.10it/s]
Training 1/1 epoch (loss 1.4878):  77%|███████▋  | 966/1250 [05:28<01:30,  3.12it/s]
Training 1/1 epoch (loss 1.5906):  77%|███████▋  | 966/1250 [05:28<01:30,  3.12it/s]
Training 1/1 epoch (loss 1.5906):  77%|███████▋  | 967/1250 [05:28<01:32,  3.07it/s]
Training 1/1 epoch (loss 1.5782):  77%|███████▋  | 967/1250 [05:28<01:32,  3.07it/s]
Training 1/1 epoch (loss 1.5782):  77%|███████▋  | 968/1250 [05:28<01:32,  3.04it/s]
Training 1/1 epoch (loss 1.4705):  77%|███████▋  | 968/1250 [05:29<01:32,  3.04it/s]
Training 1/1 epoch (loss 1.4705):  78%|███████▊  | 969/1250 [05:29<01:31,  3.08it/s]
Training 1/1 epoch (loss 1.5298):  78%|███████▊  | 969/1250 [05:29<01:31,  3.08it/s]
Training 1/1 epoch (loss 1.5298):  78%|███████▊  | 970/1250 [05:29<01:29,  3.12it/s]
Training 1/1 epoch (loss 1.5548):  78%|███████▊  | 970/1250 [05:29<01:29,  3.12it/s]
Training 1/1 epoch (loss 1.5548):  78%|███████▊  | 971/1250 [05:29<01:28,  3.15it/s]
Training 1/1 epoch (loss 1.4463):  78%|███████▊  | 971/1250 [05:29<01:28,  3.15it/s]
Training 1/1 epoch (loss 1.4463):  78%|███████▊  | 972/1250 [05:29<01:29,  3.11it/s]
Training 1/1 epoch (loss 1.5256):  78%|███████▊  | 972/1250 [05:30<01:29,  3.11it/s]
Training 1/1 epoch (loss 1.5256):  78%|███████▊  | 973/1250 [05:30<01:35,  2.89it/s]
Training 1/1 epoch (loss 1.4914):  78%|███████▊  | 973/1250 [05:30<01:35,  2.89it/s]
Training 1/1 epoch (loss 1.4914):  78%|███████▊  | 974/1250 [05:30<01:34,  2.93it/s]
Training 1/1 epoch (loss 1.4422):  78%|███████▊  | 974/1250 [05:31<01:34,  2.93it/s]
Training 1/1 epoch (loss 1.4422):  78%|███████▊  | 975/1250 [05:31<01:32,  2.98it/s]
Training 1/1 epoch (loss 1.4502):  78%|███████▊  | 975/1250 [05:31<01:32,  2.98it/s]
Training 1/1 epoch (loss 1.4502):  78%|███████▊  | 976/1250 [05:31<01:29,  3.07it/s]
Training 1/1 epoch (loss 1.5569):  78%|███████▊  | 976/1250 [05:31<01:29,  3.07it/s]
Training 1/1 epoch (loss 1.5569):  78%|███████▊  | 977/1250 [05:31<01:28,  3.10it/s]
Training 1/1 epoch (loss 1.5337):  78%|███████▊  | 977/1250 [05:31<01:28,  3.10it/s]
Training 1/1 epoch (loss 1.5337):  78%|███████▊  | 978/1250 [05:31<01:26,  3.13it/s]
Training 1/1 epoch (loss 1.4641):  78%|███████▊  | 978/1250 [05:32<01:26,  3.13it/s]
Training 1/1 epoch (loss 1.4641):  78%|███████▊  | 979/1250 [05:32<01:24,  3.21it/s]
Training 1/1 epoch (loss 1.6305):  78%|███████▊  | 979/1250 [05:32<01:24,  3.21it/s]
Training 1/1 epoch (loss 1.6305):  78%|███████▊  | 980/1250 [05:32<01:24,  3.20it/s]
Training 1/1 epoch (loss 1.5961):  78%|███████▊  | 980/1250 [05:32<01:24,  3.20it/s]
Training 1/1 epoch (loss 1.5961):  78%|███████▊  | 981/1250 [05:32<01:27,  3.06it/s]
Training 1/1 epoch (loss 1.5834):  78%|███████▊  | 981/1250 [05:33<01:27,  3.06it/s]
Training 1/1 epoch (loss 1.5834):  79%|███████▊  | 982/1250 [05:33<01:44,  2.57it/s]
Training 1/1 epoch (loss 1.4991):  79%|███████▊  | 982/1250 [05:33<01:44,  2.57it/s]
Training 1/1 epoch (loss 1.4991):  79%|███████▊  | 983/1250 [05:33<01:37,  2.73it/s]
Training 1/1 epoch (loss 1.5029):  79%|███████▊  | 983/1250 [05:34<01:37,  2.73it/s]
Training 1/1 epoch (loss 1.5029):  79%|███████▊  | 984/1250 [05:34<01:34,  2.83it/s]
Training 1/1 epoch (loss 1.6770):  79%|███████▊  | 984/1250 [05:34<01:34,  2.83it/s]
Training 1/1 epoch (loss 1.6770):  79%|███████▉  | 985/1250 [05:34<01:30,  2.94it/s]
Training 1/1 epoch (loss 1.4782):  79%|███████▉  | 985/1250 [05:34<01:30,  2.94it/s]
Training 1/1 epoch (loss 1.4782):  79%|███████▉  | 986/1250 [05:34<01:27,  3.00it/s]
Training 1/1 epoch (loss 1.5329):  79%|███████▉  | 986/1250 [05:35<01:27,  3.00it/s]
Training 1/1 epoch (loss 1.5329):  79%|███████▉  | 987/1250 [05:35<01:30,  2.89it/s]
Training 1/1 epoch (loss 1.4046):  79%|███████▉  | 987/1250 [05:35<01:30,  2.89it/s]
Training 1/1 epoch (loss 1.4046):  79%|███████▉  | 988/1250 [05:35<01:28,  2.97it/s]
Training 1/1 epoch (loss 1.4223):  79%|███████▉  | 988/1250 [05:35<01:28,  2.97it/s]
Training 1/1 epoch (loss 1.4223):  79%|███████▉  | 989/1250 [05:35<01:25,  3.06it/s]
Training 1/1 epoch (loss 1.5294):  79%|███████▉  | 989/1250 [05:36<01:25,  3.06it/s]
Training 1/1 epoch (loss 1.5294):  79%|███████▉  | 990/1250 [05:36<01:23,  3.12it/s]
Training 1/1 epoch (loss 1.3583):  79%|███████▉  | 990/1250 [05:36<01:23,  3.12it/s]
Training 1/1 epoch (loss 1.3583):  79%|███████▉  | 991/1250 [05:36<01:23,  3.11it/s]
Training 1/1 epoch (loss 1.5677):  79%|███████▉  | 991/1250 [05:36<01:23,  3.11it/s]
Training 1/1 epoch (loss 1.5677):  79%|███████▉  | 992/1250 [05:36<01:25,  3.02it/s]
Training 1/1 epoch (loss 1.5283):  79%|███████▉  | 992/1250 [05:37<01:25,  3.02it/s]
Training 1/1 epoch (loss 1.5283):  79%|███████▉  | 993/1250 [05:37<01:25,  3.02it/s]
Training 1/1 epoch (loss 1.5871):  79%|███████▉  | 993/1250 [05:37<01:25,  3.02it/s]
Training 1/1 epoch (loss 1.5871):  80%|███████▉  | 994/1250 [05:37<01:22,  3.11it/s]
Training 1/1 epoch (loss 1.5409):  80%|███████▉  | 994/1250 [05:37<01:22,  3.11it/s]
Training 1/1 epoch (loss 1.5409):  80%|███████▉  | 995/1250 [05:37<01:21,  3.12it/s]
Training 1/1 epoch (loss 1.5137):  80%|███████▉  | 995/1250 [05:37<01:21,  3.12it/s]
Training 1/1 epoch (loss 1.5137):  80%|███████▉  | 996/1250 [05:37<01:18,  3.22it/s]
Training 1/1 epoch (loss 1.4877):  80%|███████▉  | 996/1250 [05:38<01:18,  3.22it/s]
Training 1/1 epoch (loss 1.4877):  80%|███████▉  | 997/1250 [05:38<01:18,  3.21it/s]
Training 1/1 epoch (loss 1.5266):  80%|███████▉  | 997/1250 [05:38<01:18,  3.21it/s]
Training 1/1 epoch (loss 1.5266):  80%|███████▉  | 998/1250 [05:38<01:19,  3.15it/s]
Training 1/1 epoch (loss 1.5034):  80%|███████▉  | 998/1250 [05:38<01:19,  3.15it/s]
Training 1/1 epoch (loss 1.5034):  80%|███████▉  | 999/1250 [05:38<01:22,  3.04it/s]
Training 1/1 epoch (loss 1.4889):  80%|███████▉  | 999/1250 [05:39<01:22,  3.04it/s]
Training 1/1 epoch (loss 1.4889):  80%|████████  | 1000/1250 [05:39<01:22,  3.02it/s]
Training 1/1 epoch (loss 1.3863):  80%|████████  | 1000/1250 [05:39<01:22,  3.02it/s]
Training 1/1 epoch (loss 1.3863):  80%|████████  | 1001/1250 [05:39<01:21,  3.06it/s]
Training 1/1 epoch (loss 1.5961):  80%|████████  | 1001/1250 [05:39<01:21,  3.06it/s]
Training 1/1 epoch (loss 1.5961):  80%|████████  | 1002/1250 [05:39<01:18,  3.17it/s]
Training 1/1 epoch (loss 1.4582):  80%|████████  | 1002/1250 [05:40<01:18,  3.17it/s]
Training 1/1 epoch (loss 1.4582):  80%|████████  | 1003/1250 [05:40<01:16,  3.22it/s]
Training 1/1 epoch (loss 1.4236):  80%|████████  | 1003/1250 [05:40<01:16,  3.22it/s]
Training 1/1 epoch (loss 1.4236):  80%|████████  | 1004/1250 [05:40<01:17,  3.16it/s]
Training 1/1 epoch (loss 1.5849):  80%|████████  | 1004/1250 [05:40<01:17,  3.16it/s]
Training 1/1 epoch (loss 1.5849):  80%|████████  | 1005/1250 [05:40<01:16,  3.21it/s]
Training 1/1 epoch (loss 1.4895):  80%|████████  | 1005/1250 [05:41<01:16,  3.21it/s]
Training 1/1 epoch (loss 1.4895):  80%|████████  | 1006/1250 [05:41<01:17,  3.14it/s]
Training 1/1 epoch (loss 1.5844):  80%|████████  | 1006/1250 [05:41<01:17,  3.14it/s]
Training 1/1 epoch (loss 1.5844):  81%|████████  | 1007/1250 [05:41<01:17,  3.15it/s]
Training 1/1 epoch (loss 1.4831):  81%|████████  | 1007/1250 [05:41<01:17,  3.15it/s]
Training 1/1 epoch (loss 1.4831):  81%|████████  | 1008/1250 [05:41<01:17,  3.11it/s]
Training 1/1 epoch (loss 1.5491):  81%|████████  | 1008/1250 [05:42<01:17,  3.11it/s]
Training 1/1 epoch (loss 1.5491):  81%|████████  | 1009/1250 [05:42<01:15,  3.21it/s]
Training 1/1 epoch (loss 1.4080):  81%|████████  | 1009/1250 [05:42<01:15,  3.21it/s]
Training 1/1 epoch (loss 1.4080):  81%|████████  | 1010/1250 [05:42<01:16,  3.15it/s]
Training 1/1 epoch (loss 1.5406):  81%|████████  | 1010/1250 [05:42<01:16,  3.15it/s]
Training 1/1 epoch (loss 1.5406):  81%|████████  | 1011/1250 [05:42<01:14,  3.22it/s]
Training 1/1 epoch (loss 1.4998):  81%|████████  | 1011/1250 [05:43<01:14,  3.22it/s]
Training 1/1 epoch (loss 1.4998):  81%|████████  | 1012/1250 [05:43<01:14,  3.18it/s]
Training 1/1 epoch (loss 1.4927):  81%|████████  | 1012/1250 [05:43<01:14,  3.18it/s]
Training 1/1 epoch (loss 1.4927):  81%|████████  | 1013/1250 [05:43<01:16,  3.12it/s]
Training 1/1 epoch (loss 1.5068):  81%|████████  | 1013/1250 [05:43<01:16,  3.12it/s]
Training 1/1 epoch (loss 1.5068):  81%|████████  | 1014/1250 [05:43<01:17,  3.03it/s]
Training 1/1 epoch (loss 1.4415):  81%|████████  | 1014/1250 [05:44<01:17,  3.03it/s]
Training 1/1 epoch (loss 1.4415):  81%|████████  | 1015/1250 [05:44<01:17,  3.03it/s]
Training 1/1 epoch (loss 1.4476):  81%|████████  | 1015/1250 [05:44<01:17,  3.03it/s]
Training 1/1 epoch (loss 1.4476):  81%|████████▏ | 1016/1250 [05:44<01:17,  3.00it/s]
Training 1/1 epoch (loss 1.4620):  81%|████████▏ | 1016/1250 [05:44<01:17,  3.00it/s]
Training 1/1 epoch (loss 1.4620):  81%|████████▏ | 1017/1250 [05:44<01:16,  3.04it/s]
Training 1/1 epoch (loss 1.5235):  81%|████████▏ | 1017/1250 [05:45<01:16,  3.04it/s]
Training 1/1 epoch (loss 1.5235):  81%|████████▏ | 1018/1250 [05:45<01:20,  2.88it/s]
Training 1/1 epoch (loss 1.5125):  81%|████████▏ | 1018/1250 [05:45<01:20,  2.88it/s]
Training 1/1 epoch (loss 1.5125):  82%|████████▏ | 1019/1250 [05:45<01:18,  2.96it/s]
Training 1/1 epoch (loss 1.5321):  82%|████████▏ | 1019/1250 [05:45<01:18,  2.96it/s]
Training 1/1 epoch (loss 1.5321):  82%|████████▏ | 1020/1250 [05:45<01:15,  3.05it/s]
Training 1/1 epoch (loss 1.4380):  82%|████████▏ | 1020/1250 [05:46<01:15,  3.05it/s]
Training 1/1 epoch (loss 1.4380):  82%|████████▏ | 1021/1250 [05:46<01:12,  3.14it/s]
Training 1/1 epoch (loss 1.4302):  82%|████████▏ | 1021/1250 [05:46<01:12,  3.14it/s]
Training 1/1 epoch (loss 1.4302):  82%|████████▏ | 1022/1250 [05:46<01:13,  3.09it/s]
Training 1/1 epoch (loss 1.4822):  82%|████████▏ | 1022/1250 [05:46<01:13,  3.09it/s]
Training 1/1 epoch (loss 1.4822):  82%|████████▏ | 1023/1250 [05:46<01:14,  3.04it/s]
Training 1/1 epoch (loss 1.4193):  82%|████████▏ | 1023/1250 [05:47<01:14,  3.04it/s]
Training 1/1 epoch (loss 1.4193):  82%|████████▏ | 1024/1250 [05:47<01:15,  2.99it/s]
Training 1/1 epoch (loss 1.5143):  82%|████████▏ | 1024/1250 [05:47<01:15,  2.99it/s]
Training 1/1 epoch (loss 1.5143):  82%|████████▏ | 1025/1250 [05:47<01:13,  3.07it/s]
Training 1/1 epoch (loss 1.5920):  82%|████████▏ | 1025/1250 [05:47<01:13,  3.07it/s]
Training 1/1 epoch (loss 1.5920):  82%|████████▏ | 1026/1250 [05:47<01:11,  3.13it/s]
Training 1/1 epoch (loss 1.5817):  82%|████████▏ | 1026/1250 [05:47<01:11,  3.13it/s]
Training 1/1 epoch (loss 1.5817):  82%|████████▏ | 1027/1250 [05:47<01:11,  3.11it/s]
Training 1/1 epoch (loss 1.5970):  82%|████████▏ | 1027/1250 [05:48<01:11,  3.11it/s]
Training 1/1 epoch (loss 1.5970):  82%|████████▏ | 1028/1250 [05:48<01:10,  3.13it/s]
Training 1/1 epoch (loss 1.5138):  82%|████████▏ | 1028/1250 [05:48<01:10,  3.13it/s]
Training 1/1 epoch (loss 1.5138):  82%|████████▏ | 1029/1250 [05:48<01:13,  3.02it/s]
Training 1/1 epoch (loss 1.5569):  82%|████████▏ | 1029/1250 [05:48<01:13,  3.02it/s]
Training 1/1 epoch (loss 1.5569):  82%|████████▏ | 1030/1250 [05:48<01:13,  3.00it/s]
Training 1/1 epoch (loss 1.5531):  82%|████████▏ | 1030/1250 [05:49<01:13,  3.00it/s]
Training 1/1 epoch (loss 1.5531):  82%|████████▏ | 1031/1250 [05:49<01:11,  3.04it/s]
Training 1/1 epoch (loss 1.5214):  82%|████████▏ | 1031/1250 [05:49<01:11,  3.04it/s]
Training 1/1 epoch (loss 1.5214):  83%|████████▎ | 1032/1250 [05:49<01:10,  3.08it/s]
Training 1/1 epoch (loss 1.5384):  83%|████████▎ | 1032/1250 [05:49<01:10,  3.08it/s]
Training 1/1 epoch (loss 1.5384):  83%|████████▎ | 1033/1250 [05:49<01:09,  3.11it/s]
Training 1/1 epoch (loss 1.5956):  83%|████████▎ | 1033/1250 [05:50<01:09,  3.11it/s]
Training 1/1 epoch (loss 1.5956):  83%|████████▎ | 1034/1250 [05:50<01:08,  3.15it/s]
Training 1/1 epoch (loss 1.5909):  83%|████████▎ | 1034/1250 [05:50<01:08,  3.15it/s]
Training 1/1 epoch (loss 1.5909):  83%|████████▎ | 1035/1250 [05:50<01:07,  3.18it/s]
Training 1/1 epoch (loss 1.4137):  83%|████████▎ | 1035/1250 [05:50<01:07,  3.18it/s]
Training 1/1 epoch (loss 1.4137):  83%|████████▎ | 1036/1250 [05:50<01:07,  3.16it/s]
Training 1/1 epoch (loss 1.6276):  83%|████████▎ | 1036/1250 [05:51<01:07,  3.16it/s]
Training 1/1 epoch (loss 1.6276):  83%|████████▎ | 1037/1250 [05:51<01:08,  3.12it/s]
Training 1/1 epoch (loss 1.3863):  83%|████████▎ | 1037/1250 [05:51<01:08,  3.12it/s]
Training 1/1 epoch (loss 1.3863):  83%|████████▎ | 1038/1250 [05:51<01:07,  3.14it/s]
Training 1/1 epoch (loss 1.4579):  83%|████████▎ | 1038/1250 [05:51<01:07,  3.14it/s]
Training 1/1 epoch (loss 1.4579):  83%|████████▎ | 1039/1250 [05:51<01:06,  3.16it/s]
Training 1/1 epoch (loss 1.5178):  83%|████████▎ | 1039/1250 [05:52<01:06,  3.16it/s]
Training 1/1 epoch (loss 1.5178):  83%|████████▎ | 1040/1250 [05:52<01:06,  3.14it/s]
Training 1/1 epoch (loss 1.6098):  83%|████████▎ | 1040/1250 [05:52<01:06,  3.14it/s]
Training 1/1 epoch (loss 1.6098):  83%|████████▎ | 1041/1250 [05:52<01:09,  3.02it/s]
Training 1/1 epoch (loss 1.4959):  83%|████████▎ | 1041/1250 [05:52<01:09,  3.02it/s]
Training 1/1 epoch (loss 1.4959):  83%|████████▎ | 1042/1250 [05:52<01:11,  2.93it/s]
Training 1/1 epoch (loss 1.5264):  83%|████████▎ | 1042/1250 [05:53<01:11,  2.93it/s]
Training 1/1 epoch (loss 1.5264):  83%|████████▎ | 1043/1250 [05:53<01:08,  3.00it/s]
Training 1/1 epoch (loss 1.5144):  83%|████████▎ | 1043/1250 [05:53<01:08,  3.00it/s]
Training 1/1 epoch (loss 1.5144):  84%|████████▎ | 1044/1250 [05:53<01:08,  3.03it/s]
Training 1/1 epoch (loss 1.5125):  84%|████████▎ | 1044/1250 [05:53<01:08,  3.03it/s]
Training 1/1 epoch (loss 1.5125):  84%|████████▎ | 1045/1250 [05:53<01:11,  2.86it/s]
Training 1/1 epoch (loss 1.4989):  84%|████████▎ | 1045/1250 [05:54<01:11,  2.86it/s]
Training 1/1 epoch (loss 1.4989):  84%|████████▎ | 1046/1250 [05:54<01:08,  3.00it/s]
Training 1/1 epoch (loss 1.4628):  84%|████████▎ | 1046/1250 [05:54<01:08,  3.00it/s]
Training 1/1 epoch (loss 1.4628):  84%|████████▍ | 1047/1250 [05:54<01:06,  3.04it/s]
Training 1/1 epoch (loss 1.5085):  84%|████████▍ | 1047/1250 [05:54<01:06,  3.04it/s]
Training 1/1 epoch (loss 1.5085):  84%|████████▍ | 1048/1250 [05:54<01:06,  3.06it/s]
Training 1/1 epoch (loss 1.5718):  84%|████████▍ | 1048/1250 [05:55<01:06,  3.06it/s]
Training 1/1 epoch (loss 1.5718):  84%|████████▍ | 1049/1250 [05:55<01:05,  3.06it/s]
Training 1/1 epoch (loss 1.4702):  84%|████████▍ | 1049/1250 [05:55<01:05,  3.06it/s]
Training 1/1 epoch (loss 1.4702):  84%|████████▍ | 1050/1250 [05:55<01:04,  3.11it/s]
Training 1/1 epoch (loss 1.5218):  84%|████████▍ | 1050/1250 [05:55<01:04,  3.11it/s]
Training 1/1 epoch (loss 1.5218):  84%|████████▍ | 1051/1250 [05:55<01:02,  3.21it/s]
Training 1/1 epoch (loss 1.6182):  84%|████████▍ | 1051/1250 [05:56<01:02,  3.21it/s]
Training 1/1 epoch (loss 1.6182):  84%|████████▍ | 1052/1250 [05:56<01:01,  3.22it/s]
Training 1/1 epoch (loss 1.4541):  84%|████████▍ | 1052/1250 [05:56<01:01,  3.22it/s]
Training 1/1 epoch (loss 1.4541):  84%|████████▍ | 1053/1250 [05:56<01:01,  3.20it/s]
Training 1/1 epoch (loss 1.5987):  84%|████████▍ | 1053/1250 [05:56<01:01,  3.20it/s]
Training 1/1 epoch (loss 1.5987):  84%|████████▍ | 1054/1250 [05:56<01:00,  3.23it/s]
Training 1/1 epoch (loss 1.4995):  84%|████████▍ | 1054/1250 [05:57<01:00,  3.23it/s]
Training 1/1 epoch (loss 1.4995):  84%|████████▍ | 1055/1250 [05:57<01:02,  3.11it/s]
Training 1/1 epoch (loss 1.4815):  84%|████████▍ | 1055/1250 [05:57<01:02,  3.11it/s]
Training 1/1 epoch (loss 1.4815):  84%|████████▍ | 1056/1250 [05:57<01:02,  3.09it/s]
Training 1/1 epoch (loss 1.4193):  84%|████████▍ | 1056/1250 [05:57<01:02,  3.09it/s]
Training 1/1 epoch (loss 1.4193):  85%|████████▍ | 1057/1250 [05:57<01:01,  3.13it/s]
Training 1/1 epoch (loss 1.5636):  85%|████████▍ | 1057/1250 [05:57<01:01,  3.13it/s]
Training 1/1 epoch (loss 1.5636):  85%|████████▍ | 1058/1250 [05:57<01:00,  3.15it/s]
Training 1/1 epoch (loss 1.4078):  85%|████████▍ | 1058/1250 [05:58<01:00,  3.15it/s]
Training 1/1 epoch (loss 1.4078):  85%|████████▍ | 1059/1250 [05:58<01:00,  3.18it/s]
Training 1/1 epoch (loss 1.4246):  85%|████████▍ | 1059/1250 [05:58<01:00,  3.18it/s]
Training 1/1 epoch (loss 1.4246):  85%|████████▍ | 1060/1250 [05:58<00:59,  3.20it/s]
Training 1/1 epoch (loss 1.5666):  85%|████████▍ | 1060/1250 [05:58<00:59,  3.20it/s]
Training 1/1 epoch (loss 1.5666):  85%|████████▍ | 1061/1250 [05:58<01:03,  2.99it/s]
Training 1/1 epoch (loss 1.5006):  85%|████████▍ | 1061/1250 [05:59<01:03,  2.99it/s]
Training 1/1 epoch (loss 1.5006):  85%|████████▍ | 1062/1250 [05:59<01:01,  3.04it/s]
Training 1/1 epoch (loss 1.4770):  85%|████████▍ | 1062/1250 [05:59<01:01,  3.04it/s]
Training 1/1 epoch (loss 1.4770):  85%|████████▌ | 1063/1250 [05:59<00:59,  3.15it/s]
Training 1/1 epoch (loss 1.5701):  85%|████████▌ | 1063/1250 [05:59<00:59,  3.15it/s]
Training 1/1 epoch (loss 1.5701):  85%|████████▌ | 1064/1250 [05:59<01:02,  3.00it/s]
Training 1/1 epoch (loss 1.5631):  85%|████████▌ | 1064/1250 [06:00<01:02,  3.00it/s]
Training 1/1 epoch (loss 1.5631):  85%|████████▌ | 1065/1250 [06:00<01:00,  3.07it/s]
Training 1/1 epoch (loss 1.5540):  85%|████████▌ | 1065/1250 [06:00<01:00,  3.07it/s]
Training 1/1 epoch (loss 1.5540):  85%|████████▌ | 1066/1250 [06:00<01:02,  2.92it/s]
Training 1/1 epoch (loss 1.6083):  85%|████████▌ | 1066/1250 [06:00<01:02,  2.92it/s]
Training 1/1 epoch (loss 1.6083):  85%|████████▌ | 1067/1250 [06:00<01:02,  2.93it/s]
Training 1/1 epoch (loss 1.5385):  85%|████████▌ | 1067/1250 [06:01<01:02,  2.93it/s]
Training 1/1 epoch (loss 1.5385):  85%|████████▌ | 1068/1250 [06:01<01:00,  3.00it/s]
Training 1/1 epoch (loss 1.6379):  85%|████████▌ | 1068/1250 [06:01<01:00,  3.00it/s]
Training 1/1 epoch (loss 1.6379):  86%|████████▌ | 1069/1250 [06:01<00:58,  3.09it/s]
Training 1/1 epoch (loss 1.5622):  86%|████████▌ | 1069/1250 [06:01<00:58,  3.09it/s]
Training 1/1 epoch (loss 1.5622):  86%|████████▌ | 1070/1250 [06:01<00:57,  3.14it/s]
Training 1/1 epoch (loss 1.5487):  86%|████████▌ | 1070/1250 [06:02<00:57,  3.14it/s]
Training 1/1 epoch (loss 1.5487):  86%|████████▌ | 1071/1250 [06:02<00:56,  3.16it/s]
Training 1/1 epoch (loss 1.4144):  86%|████████▌ | 1071/1250 [06:02<00:56,  3.16it/s]
Training 1/1 epoch (loss 1.4144):  86%|████████▌ | 1072/1250 [06:02<00:56,  3.15it/s]
Training 1/1 epoch (loss 1.4811):  86%|████████▌ | 1072/1250 [06:02<00:56,  3.15it/s]
Training 1/1 epoch (loss 1.4811):  86%|████████▌ | 1073/1250 [06:02<00:58,  3.03it/s]
Training 1/1 epoch (loss 1.6016):  86%|████████▌ | 1073/1250 [06:03<00:58,  3.03it/s]
Training 1/1 epoch (loss 1.6016):  86%|████████▌ | 1074/1250 [06:03<00:57,  3.08it/s]
Training 1/1 epoch (loss 1.6015):  86%|████████▌ | 1074/1250 [06:03<00:57,  3.08it/s]
Training 1/1 epoch (loss 1.6015):  86%|████████▌ | 1075/1250 [06:03<00:55,  3.14it/s]
Training 1/1 epoch (loss 1.4948):  86%|████████▌ | 1075/1250 [06:03<00:55,  3.14it/s]
Training 1/1 epoch (loss 1.4948):  86%|████████▌ | 1076/1250 [06:03<00:54,  3.17it/s]
Training 1/1 epoch (loss 1.4165):  86%|████████▌ | 1076/1250 [06:04<00:54,  3.17it/s]
Training 1/1 epoch (loss 1.4165):  86%|████████▌ | 1077/1250 [06:04<00:58,  2.98it/s]
Training 1/1 epoch (loss 1.3891):  86%|████████▌ | 1077/1250 [06:04<00:58,  2.98it/s]
Training 1/1 epoch (loss 1.3891):  86%|████████▌ | 1078/1250 [06:04<00:57,  3.00it/s]
Training 1/1 epoch (loss 1.5889):  86%|████████▌ | 1078/1250 [06:04<00:57,  3.00it/s]
Training 1/1 epoch (loss 1.5889):  86%|████████▋ | 1079/1250 [06:04<00:55,  3.06it/s]
Training 1/1 epoch (loss 1.4684):  86%|████████▋ | 1079/1250 [06:05<00:55,  3.06it/s]
Training 1/1 epoch (loss 1.4684):  86%|████████▋ | 1080/1250 [06:05<00:55,  3.05it/s]
Training 1/1 epoch (loss 1.4919):  86%|████████▋ | 1080/1250 [06:05<00:55,  3.05it/s]
Training 1/1 epoch (loss 1.4919):  86%|████████▋ | 1081/1250 [06:05<00:54,  3.11it/s]
Training 1/1 epoch (loss 1.4283):  86%|████████▋ | 1081/1250 [06:05<00:54,  3.11it/s]
Training 1/1 epoch (loss 1.4283):  87%|████████▋ | 1082/1250 [06:05<00:52,  3.20it/s]
Training 1/1 epoch (loss 1.5916):  87%|████████▋ | 1082/1250 [06:06<00:52,  3.20it/s]
Training 1/1 epoch (loss 1.5916):  87%|████████▋ | 1083/1250 [06:06<00:51,  3.22it/s]
Training 1/1 epoch (loss 1.4223):  87%|████████▋ | 1083/1250 [06:06<00:51,  3.22it/s]
Training 1/1 epoch (loss 1.4223):  87%|████████▋ | 1084/1250 [06:06<00:51,  3.25it/s]
Training 1/1 epoch (loss 1.5726):  87%|████████▋ | 1084/1250 [06:06<00:51,  3.25it/s]
Training 1/1 epoch (loss 1.5726):  87%|████████▋ | 1085/1250 [06:06<00:51,  3.22it/s]
Training 1/1 epoch (loss 1.6210):  87%|████████▋ | 1085/1250 [06:07<00:51,  3.22it/s]
Training 1/1 epoch (loss 1.6210):  87%|████████▋ | 1086/1250 [06:07<00:51,  3.18it/s]
Training 1/1 epoch (loss 1.5089):  87%|████████▋ | 1086/1250 [06:07<00:51,  3.18it/s]
Training 1/1 epoch (loss 1.5089):  87%|████████▋ | 1087/1250 [06:07<00:52,  3.08it/s]
Training 1/1 epoch (loss 1.4973):  87%|████████▋ | 1087/1250 [06:07<00:52,  3.08it/s]
Training 1/1 epoch (loss 1.4973):  87%|████████▋ | 1088/1250 [06:07<00:52,  3.09it/s]
Training 1/1 epoch (loss 1.4214):  87%|████████▋ | 1088/1250 [06:08<00:52,  3.09it/s]
Training 1/1 epoch (loss 1.4214):  87%|████████▋ | 1089/1250 [06:08<00:51,  3.14it/s]
Training 1/1 epoch (loss 1.5623):  87%|████████▋ | 1089/1250 [06:08<00:51,  3.14it/s]
Training 1/1 epoch (loss 1.5623):  87%|████████▋ | 1090/1250 [06:08<00:50,  3.20it/s]
Training 1/1 epoch (loss 1.4239):  87%|████████▋ | 1090/1250 [06:08<00:50,  3.20it/s]
Training 1/1 epoch (loss 1.4239):  87%|████████▋ | 1091/1250 [06:08<00:51,  3.11it/s]
Training 1/1 epoch (loss 1.3967):  87%|████████▋ | 1091/1250 [06:08<00:51,  3.11it/s]
Training 1/1 epoch (loss 1.3967):  87%|████████▋ | 1092/1250 [06:08<00:51,  3.07it/s]
Training 1/1 epoch (loss 1.4487):  87%|████████▋ | 1092/1250 [06:09<00:51,  3.07it/s]
Training 1/1 epoch (loss 1.4487):  87%|████████▋ | 1093/1250 [06:09<00:49,  3.15it/s]
Training 1/1 epoch (loss 1.3463):  87%|████████▋ | 1093/1250 [06:09<00:49,  3.15it/s]
Training 1/1 epoch (loss 1.3463):  88%|████████▊ | 1094/1250 [06:09<00:50,  3.10it/s]
Training 1/1 epoch (loss 1.5077):  88%|████████▊ | 1094/1250 [06:09<00:50,  3.10it/s]
Training 1/1 epoch (loss 1.5077):  88%|████████▊ | 1095/1250 [06:09<00:49,  3.11it/s]
Training 1/1 epoch (loss 1.5868):  88%|████████▊ | 1095/1250 [06:10<00:49,  3.11it/s]
Training 1/1 epoch (loss 1.5868):  88%|████████▊ | 1096/1250 [06:10<00:49,  3.11it/s]
Training 1/1 epoch (loss 1.5641):  88%|████████▊ | 1096/1250 [06:10<00:49,  3.11it/s]
Training 1/1 epoch (loss 1.5641):  88%|████████▊ | 1097/1250 [06:10<00:47,  3.20it/s]
Training 1/1 epoch (loss 1.5654):  88%|████████▊ | 1097/1250 [06:10<00:47,  3.20it/s]
Training 1/1 epoch (loss 1.5654):  88%|████████▊ | 1098/1250 [06:10<00:48,  3.16it/s]
Training 1/1 epoch (loss 1.5231):  88%|████████▊ | 1098/1250 [06:11<00:48,  3.16it/s]
Training 1/1 epoch (loss 1.5231):  88%|████████▊ | 1099/1250 [06:11<00:48,  3.14it/s]
Training 1/1 epoch (loss 1.5237):  88%|████████▊ | 1099/1250 [06:11<00:48,  3.14it/s]
Training 1/1 epoch (loss 1.5237):  88%|████████▊ | 1100/1250 [06:11<00:46,  3.21it/s]
Training 1/1 epoch (loss 1.5343):  88%|████████▊ | 1100/1250 [06:11<00:46,  3.21it/s]
Training 1/1 epoch (loss 1.5343):  88%|████████▊ | 1101/1250 [06:11<00:45,  3.29it/s]
Training 1/1 epoch (loss 1.6430):  88%|████████▊ | 1101/1250 [06:12<00:45,  3.29it/s]
Training 1/1 epoch (loss 1.6430):  88%|████████▊ | 1102/1250 [06:12<00:45,  3.23it/s]
Training 1/1 epoch (loss 1.4826):  88%|████████▊ | 1102/1250 [06:12<00:45,  3.23it/s]
Training 1/1 epoch (loss 1.4826):  88%|████████▊ | 1103/1250 [06:12<00:45,  3.24it/s]
Training 1/1 epoch (loss 1.5137):  88%|████████▊ | 1103/1250 [06:12<00:45,  3.24it/s]
Training 1/1 epoch (loss 1.5137):  88%|████████▊ | 1104/1250 [06:12<00:45,  3.19it/s]
Training 1/1 epoch (loss 1.4560):  88%|████████▊ | 1104/1250 [06:13<00:45,  3.19it/s]
Training 1/1 epoch (loss 1.4560):  88%|████████▊ | 1105/1250 [06:13<00:46,  3.10it/s]
Training 1/1 epoch (loss 1.5660):  88%|████████▊ | 1105/1250 [06:13<00:46,  3.10it/s]
Training 1/1 epoch (loss 1.5660):  88%|████████▊ | 1106/1250 [06:13<00:45,  3.16it/s]
Training 1/1 epoch (loss 1.4244):  88%|████████▊ | 1106/1250 [06:13<00:45,  3.16it/s]
Training 1/1 epoch (loss 1.4244):  89%|████████▊ | 1107/1250 [06:13<00:44,  3.24it/s]
Training 1/1 epoch (loss 1.4205):  89%|████████▊ | 1107/1250 [06:13<00:44,  3.24it/s]
Training 1/1 epoch (loss 1.4205):  89%|████████▊ | 1108/1250 [06:13<00:44,  3.20it/s]
Training 1/1 epoch (loss 1.4582):  89%|████████▊ | 1108/1250 [06:14<00:44,  3.20it/s]
Training 1/1 epoch (loss 1.4582):  89%|████████▊ | 1109/1250 [06:14<00:44,  3.14it/s]
Training 1/1 epoch (loss 1.6196):  89%|████████▊ | 1109/1250 [06:14<00:44,  3.14it/s]
Training 1/1 epoch (loss 1.6196):  89%|████████▉ | 1110/1250 [06:14<00:48,  2.91it/s]
Training 1/1 epoch (loss 1.5100):  89%|████████▉ | 1110/1250 [06:15<00:48,  2.91it/s]
Training 1/1 epoch (loss 1.5100):  89%|████████▉ | 1111/1250 [06:15<00:49,  2.81it/s]
Training 1/1 epoch (loss 1.5168):  89%|████████▉ | 1111/1250 [06:15<00:49,  2.81it/s]
Training 1/1 epoch (loss 1.5168):  89%|████████▉ | 1112/1250 [06:15<00:48,  2.87it/s]
Training 1/1 epoch (loss 1.3217):  89%|████████▉ | 1112/1250 [06:15<00:48,  2.87it/s]
Training 1/1 epoch (loss 1.3217):  89%|████████▉ | 1113/1250 [06:15<00:45,  3.00it/s]
Training 1/1 epoch (loss 1.5053):  89%|████████▉ | 1113/1250 [06:16<00:45,  3.00it/s]
Training 1/1 epoch (loss 1.5053):  89%|████████▉ | 1114/1250 [06:16<00:44,  3.03it/s]
Training 1/1 epoch (loss 1.5441):  89%|████████▉ | 1114/1250 [06:16<00:44,  3.03it/s]
Training 1/1 epoch (loss 1.5441):  89%|████████▉ | 1115/1250 [06:16<00:43,  3.07it/s]
Training 1/1 epoch (loss 1.5006):  89%|████████▉ | 1115/1250 [06:16<00:43,  3.07it/s]
Training 1/1 epoch (loss 1.5006):  89%|████████▉ | 1116/1250 [06:16<00:42,  3.13it/s]
Training 1/1 epoch (loss 1.5660):  89%|████████▉ | 1116/1250 [06:17<00:42,  3.13it/s]
Training 1/1 epoch (loss 1.5660):  89%|████████▉ | 1117/1250 [06:17<00:42,  3.10it/s]
Training 1/1 epoch (loss 1.6200):  89%|████████▉ | 1117/1250 [06:17<00:42,  3.10it/s]
Training 1/1 epoch (loss 1.6200):  89%|████████▉ | 1118/1250 [06:17<00:42,  3.11it/s]
Training 1/1 epoch (loss 1.4577):  89%|████████▉ | 1118/1250 [06:17<00:42,  3.11it/s]
Training 1/1 epoch (loss 1.4577):  90%|████████▉ | 1119/1250 [06:17<00:41,  3.12it/s]
Training 1/1 epoch (loss 1.5416):  90%|████████▉ | 1119/1250 [06:17<00:41,  3.12it/s]
Training 1/1 epoch (loss 1.5416):  90%|████████▉ | 1120/1250 [06:17<00:41,  3.13it/s]
Training 1/1 epoch (loss 1.5913):  90%|████████▉ | 1120/1250 [06:18<00:41,  3.13it/s]
Training 1/1 epoch (loss 1.5913):  90%|████████▉ | 1121/1250 [06:18<00:41,  3.14it/s]
Training 1/1 epoch (loss 1.6258):  90%|████████▉ | 1121/1250 [06:18<00:41,  3.14it/s]
Training 1/1 epoch (loss 1.6258):  90%|████████▉ | 1122/1250 [06:18<00:39,  3.24it/s]
Training 1/1 epoch (loss 1.4931):  90%|████████▉ | 1122/1250 [06:18<00:39,  3.24it/s]
Training 1/1 epoch (loss 1.4931):  90%|████████▉ | 1123/1250 [06:18<00:40,  3.14it/s]
Training 1/1 epoch (loss 1.6270):  90%|████████▉ | 1123/1250 [06:19<00:40,  3.14it/s]
Training 1/1 epoch (loss 1.6270):  90%|████████▉ | 1124/1250 [06:19<00:40,  3.12it/s]
Training 1/1 epoch (loss 1.5280):  90%|████████▉ | 1124/1250 [06:19<00:40,  3.12it/s]
Training 1/1 epoch (loss 1.5280):  90%|█████████ | 1125/1250 [06:19<00:38,  3.21it/s]
Training 1/1 epoch (loss 1.4190):  90%|█████████ | 1125/1250 [06:19<00:38,  3.21it/s]
Training 1/1 epoch (loss 1.4190):  90%|█████████ | 1126/1250 [06:19<00:39,  3.11it/s]
Training 1/1 epoch (loss 1.4516):  90%|█████████ | 1126/1250 [06:20<00:39,  3.11it/s]
Training 1/1 epoch (loss 1.4516):  90%|█████████ | 1127/1250 [06:20<00:39,  3.10it/s]
Training 1/1 epoch (loss 1.6464):  90%|█████████ | 1127/1250 [06:20<00:39,  3.10it/s]
Training 1/1 epoch (loss 1.6464):  90%|█████████ | 1128/1250 [06:20<00:39,  3.06it/s]
Training 1/1 epoch (loss 1.4923):  90%|█████████ | 1128/1250 [06:20<00:39,  3.06it/s]
Training 1/1 epoch (loss 1.4923):  90%|█████████ | 1129/1250 [06:20<00:38,  3.11it/s]
Training 1/1 epoch (loss 1.5608):  90%|█████████ | 1129/1250 [06:21<00:38,  3.11it/s]
Training 1/1 epoch (loss 1.5608):  90%|█████████ | 1130/1250 [06:21<00:39,  3.07it/s]
Training 1/1 epoch (loss 1.5772):  90%|█████████ | 1130/1250 [06:21<00:39,  3.07it/s]
Training 1/1 epoch (loss 1.5772):  90%|█████████ | 1131/1250 [06:21<00:37,  3.15it/s]
Training 1/1 epoch (loss 1.5126):  90%|█████████ | 1131/1250 [06:21<00:37,  3.15it/s]
Training 1/1 epoch (loss 1.5126):  91%|█████████ | 1132/1250 [06:21<00:36,  3.19it/s]
Training 1/1 epoch (loss 1.5583):  91%|█████████ | 1132/1250 [06:22<00:36,  3.19it/s]
Training 1/1 epoch (loss 1.5583):  91%|█████████ | 1133/1250 [06:22<00:36,  3.20it/s]
Training 1/1 epoch (loss 1.6000):  91%|█████████ | 1133/1250 [06:22<00:36,  3.20it/s]
Training 1/1 epoch (loss 1.6000):  91%|█████████ | 1134/1250 [06:22<00:36,  3.18it/s]
Training 1/1 epoch (loss 1.4799):  91%|█████████ | 1134/1250 [06:22<00:36,  3.18it/s]
Training 1/1 epoch (loss 1.4799):  91%|█████████ | 1135/1250 [06:22<00:35,  3.22it/s]
Training 1/1 epoch (loss 1.5271):  91%|█████████ | 1135/1250 [06:23<00:35,  3.22it/s]
Training 1/1 epoch (loss 1.5271):  91%|█████████ | 1136/1250 [06:23<00:37,  3.00it/s]
Training 1/1 epoch (loss 1.4374):  91%|█████████ | 1136/1250 [06:23<00:37,  3.00it/s]
Training 1/1 epoch (loss 1.4374):  91%|█████████ | 1137/1250 [06:23<00:37,  2.99it/s]
Training 1/1 epoch (loss 1.6343):  91%|█████████ | 1137/1250 [06:24<00:37,  2.99it/s]
Training 1/1 epoch (loss 1.6343):  91%|█████████ | 1138/1250 [06:24<00:47,  2.35it/s]
Training 1/1 epoch (loss 1.5339):  91%|█████████ | 1138/1250 [06:24<00:47,  2.35it/s]
Training 1/1 epoch (loss 1.5339):  91%|█████████ | 1139/1250 [06:24<00:44,  2.51it/s]
Training 1/1 epoch (loss 1.4878):  91%|█████████ | 1139/1250 [06:24<00:44,  2.51it/s]
Training 1/1 epoch (loss 1.4878):  91%|█████████ | 1140/1250 [06:24<00:40,  2.71it/s]
Training 1/1 epoch (loss 1.4166):  91%|█████████ | 1140/1250 [06:25<00:40,  2.71it/s]
Training 1/1 epoch (loss 1.4166):  91%|█████████▏| 1141/1250 [06:25<00:39,  2.73it/s]
Training 1/1 epoch (loss 1.4479):  91%|█████████▏| 1141/1250 [06:25<00:39,  2.73it/s]
Training 1/1 epoch (loss 1.4479):  91%|█████████▏| 1142/1250 [06:25<00:38,  2.80it/s]
Training 1/1 epoch (loss 1.4248):  91%|█████████▏| 1142/1250 [06:25<00:38,  2.80it/s]
Training 1/1 epoch (loss 1.4248):  91%|█████████▏| 1143/1250 [06:25<00:35,  2.99it/s]
Training 1/1 epoch (loss 1.6552):  91%|█████████▏| 1143/1250 [06:26<00:35,  2.99it/s]
Training 1/1 epoch (loss 1.6552):  92%|█████████▏| 1144/1250 [06:26<00:35,  2.99it/s]
Training 1/1 epoch (loss 1.5583):  92%|█████████▏| 1144/1250 [06:26<00:35,  2.99it/s]
Training 1/1 epoch (loss 1.5583):  92%|█████████▏| 1145/1250 [06:26<00:34,  3.03it/s]
Training 1/1 epoch (loss 1.4931):  92%|█████████▏| 1145/1250 [06:26<00:34,  3.03it/s]
Training 1/1 epoch (loss 1.4931):  92%|█████████▏| 1146/1250 [06:26<00:33,  3.09it/s]
Training 1/1 epoch (loss 1.5167):  92%|█████████▏| 1146/1250 [06:26<00:33,  3.09it/s]
Training 1/1 epoch (loss 1.5167):  92%|█████████▏| 1147/1250 [06:26<00:33,  3.05it/s]
Training 1/1 epoch (loss 1.6796):  92%|█████████▏| 1147/1250 [06:27<00:33,  3.05it/s]
Training 1/1 epoch (loss 1.6796):  92%|█████████▏| 1148/1250 [06:27<00:33,  3.08it/s]
Training 1/1 epoch (loss 1.4733):  92%|█████████▏| 1148/1250 [06:27<00:33,  3.08it/s]
Training 1/1 epoch (loss 1.4733):  92%|█████████▏| 1149/1250 [06:27<00:32,  3.12it/s]
Training 1/1 epoch (loss 1.5034):  92%|█████████▏| 1149/1250 [06:27<00:32,  3.12it/s]
Training 1/1 epoch (loss 1.5034):  92%|█████████▏| 1150/1250 [06:27<00:31,  3.17it/s]
Training 1/1 epoch (loss 1.7206):  92%|█████████▏| 1150/1250 [06:28<00:31,  3.17it/s]
Training 1/1 epoch (loss 1.7206):  92%|█████████▏| 1151/1250 [06:28<00:31,  3.19it/s]
Training 1/1 epoch (loss 1.7148):  92%|█████████▏| 1151/1250 [06:28<00:31,  3.19it/s]
Training 1/1 epoch (loss 1.7148):  92%|█████████▏| 1152/1250 [06:28<00:31,  3.14it/s]
Training 1/1 epoch (loss 1.5488):  92%|█████████▏| 1152/1250 [06:28<00:31,  3.14it/s]
Training 1/1 epoch (loss 1.5488):  92%|█████████▏| 1153/1250 [06:28<00:31,  3.12it/s]
Training 1/1 epoch (loss 1.6425):  92%|█████████▏| 1153/1250 [06:29<00:31,  3.12it/s]
Training 1/1 epoch (loss 1.6425):  92%|█████████▏| 1154/1250 [06:29<00:31,  3.08it/s]
Training 1/1 epoch (loss 1.3657):  92%|█████████▏| 1154/1250 [06:29<00:31,  3.08it/s]
Training 1/1 epoch (loss 1.3657):  92%|█████████▏| 1155/1250 [06:29<00:30,  3.15it/s]
Training 1/1 epoch (loss 1.4765):  92%|█████████▏| 1155/1250 [06:29<00:30,  3.15it/s]
Training 1/1 epoch (loss 1.4765):  92%|█████████▏| 1156/1250 [06:29<00:29,  3.15it/s]
Training 1/1 epoch (loss 1.5515):  92%|█████████▏| 1156/1250 [06:30<00:29,  3.15it/s]
Training 1/1 epoch (loss 1.5515):  93%|█████████▎| 1157/1250 [06:30<00:30,  3.04it/s]
Training 1/1 epoch (loss 1.4198):  93%|█████████▎| 1157/1250 [06:30<00:30,  3.04it/s]
Training 1/1 epoch (loss 1.4198):  93%|█████████▎| 1158/1250 [06:30<00:30,  3.00it/s]
Training 1/1 epoch (loss 1.4835):  93%|█████████▎| 1158/1250 [06:30<00:30,  3.00it/s]
Training 1/1 epoch (loss 1.4835):  93%|█████████▎| 1159/1250 [06:30<00:31,  2.85it/s]
Training 1/1 epoch (loss 1.4312):  93%|█████████▎| 1159/1250 [06:31<00:31,  2.85it/s]
Training 1/1 epoch (loss 1.4312):  93%|█████████▎| 1160/1250 [06:31<00:31,  2.82it/s]
Training 1/1 epoch (loss 1.5838):  93%|█████████▎| 1160/1250 [06:31<00:31,  2.82it/s]
Training 1/1 epoch (loss 1.5838):  93%|█████████▎| 1161/1250 [06:31<00:30,  2.93it/s]
Training 1/1 epoch (loss 1.5117):  93%|█████████▎| 1161/1250 [06:31<00:30,  2.93it/s]
Training 1/1 epoch (loss 1.5117):  93%|█████████▎| 1162/1250 [06:31<00:28,  3.05it/s]
Training 1/1 epoch (loss 1.4153):  93%|█████████▎| 1162/1250 [06:32<00:28,  3.05it/s]
Training 1/1 epoch (loss 1.4153):  93%|█████████▎| 1163/1250 [06:32<00:28,  3.06it/s]
Training 1/1 epoch (loss 1.5018):  93%|█████████▎| 1163/1250 [06:32<00:28,  3.06it/s]
Training 1/1 epoch (loss 1.5018):  93%|█████████▎| 1164/1250 [06:32<00:27,  3.13it/s]
Training 1/1 epoch (loss 1.3986):  93%|█████████▎| 1164/1250 [06:32<00:27,  3.13it/s]
Training 1/1 epoch (loss 1.3986):  93%|█████████▎| 1165/1250 [06:32<00:27,  3.10it/s]
Training 1/1 epoch (loss 1.6476):  93%|█████████▎| 1165/1250 [06:33<00:27,  3.10it/s]
Training 1/1 epoch (loss 1.6476):  93%|█████████▎| 1166/1250 [06:33<00:27,  3.06it/s]
Training 1/1 epoch (loss 1.5272):  93%|█████████▎| 1166/1250 [06:33<00:27,  3.06it/s]
Training 1/1 epoch (loss 1.5272):  93%|█████████▎| 1167/1250 [06:33<00:27,  3.04it/s]
Training 1/1 epoch (loss 1.6202):  93%|█████████▎| 1167/1250 [06:33<00:27,  3.04it/s]
Training 1/1 epoch (loss 1.6202):  93%|█████████▎| 1168/1250 [06:33<00:27,  3.02it/s]
Training 1/1 epoch (loss 1.6121):  93%|█████████▎| 1168/1250 [06:34<00:27,  3.02it/s]
Training 1/1 epoch (loss 1.6121):  94%|█████████▎| 1169/1250 [06:34<00:26,  3.08it/s]
Training 1/1 epoch (loss 1.6579):  94%|█████████▎| 1169/1250 [06:34<00:26,  3.08it/s]
Training 1/1 epoch (loss 1.6579):  94%|█████████▎| 1170/1250 [06:34<00:26,  3.03it/s]
Training 1/1 epoch (loss 1.4513):  94%|█████████▎| 1170/1250 [06:34<00:26,  3.03it/s]
Training 1/1 epoch (loss 1.4513):  94%|█████████▎| 1171/1250 [06:34<00:26,  2.93it/s]
Training 1/1 epoch (loss 1.5072):  94%|█████████▎| 1171/1250 [06:35<00:26,  2.93it/s]
Training 1/1 epoch (loss 1.5072):  94%|█████████▍| 1172/1250 [06:35<00:25,  3.04it/s]
Training 1/1 epoch (loss 1.4343):  94%|█████████▍| 1172/1250 [06:35<00:25,  3.04it/s]
Training 1/1 epoch (loss 1.4343):  94%|█████████▍| 1173/1250 [06:35<00:25,  2.97it/s]
Training 1/1 epoch (loss 1.5964):  94%|█████████▍| 1173/1250 [06:35<00:25,  2.97it/s]
Training 1/1 epoch (loss 1.5964):  94%|█████████▍| 1174/1250 [06:35<00:25,  3.03it/s]
Training 1/1 epoch (loss 1.5049):  94%|█████████▍| 1174/1250 [06:36<00:25,  3.03it/s]
Training 1/1 epoch (loss 1.5049):  94%|█████████▍| 1175/1250 [06:36<00:24,  3.07it/s]
Training 1/1 epoch (loss 1.5689):  94%|█████████▍| 1175/1250 [06:36<00:24,  3.07it/s]
Training 1/1 epoch (loss 1.5689):  94%|█████████▍| 1176/1250 [06:36<00:24,  3.00it/s]
Training 1/1 epoch (loss 1.5663):  94%|█████████▍| 1176/1250 [06:36<00:24,  3.00it/s]
Training 1/1 epoch (loss 1.5663):  94%|█████████▍| 1177/1250 [06:36<00:24,  3.01it/s]
Training 1/1 epoch (loss 1.5215):  94%|█████████▍| 1177/1250 [06:37<00:24,  3.01it/s]
Training 1/1 epoch (loss 1.5215):  94%|█████████▍| 1178/1250 [06:37<00:23,  3.00it/s]
Training 1/1 epoch (loss 1.4202):  94%|█████████▍| 1178/1250 [06:37<00:23,  3.00it/s]
Training 1/1 epoch (loss 1.4202):  94%|█████████▍| 1179/1250 [06:37<00:22,  3.12it/s]
Training 1/1 epoch (loss 1.5137):  94%|█████████▍| 1179/1250 [06:37<00:22,  3.12it/s]
Training 1/1 epoch (loss 1.5137):  94%|█████████▍| 1180/1250 [06:37<00:22,  3.14it/s]
Training 1/1 epoch (loss 1.4328):  94%|█████████▍| 1180/1250 [06:38<00:22,  3.14it/s]
Training 1/1 epoch (loss 1.4328):  94%|█████████▍| 1181/1250 [06:38<00:21,  3.15it/s]
Training 1/1 epoch (loss 1.4496):  94%|█████████▍| 1181/1250 [06:38<00:21,  3.15it/s]
Training 1/1 epoch (loss 1.4496):  95%|█████████▍| 1182/1250 [06:38<00:21,  3.12it/s]
Training 1/1 epoch (loss 1.5729):  95%|█████████▍| 1182/1250 [06:38<00:21,  3.12it/s]
Training 1/1 epoch (loss 1.5729):  95%|█████████▍| 1183/1250 [06:38<00:21,  3.16it/s]
Training 1/1 epoch (loss 1.4681):  95%|█████████▍| 1183/1250 [06:39<00:21,  3.16it/s]
Training 1/1 epoch (loss 1.4681):  95%|█████████▍| 1184/1250 [06:39<00:21,  3.02it/s]
Training 1/1 epoch (loss 1.4797):  95%|█████████▍| 1184/1250 [06:39<00:21,  3.02it/s]
Training 1/1 epoch (loss 1.4797):  95%|█████████▍| 1185/1250 [06:39<00:21,  3.03it/s]
Training 1/1 epoch (loss 1.4507):  95%|█████████▍| 1185/1250 [06:39<00:21,  3.03it/s]
Training 1/1 epoch (loss 1.4507):  95%|█████████▍| 1186/1250 [06:39<00:20,  3.11it/s]
Training 1/1 epoch (loss 1.4444):  95%|█████████▍| 1186/1250 [06:40<00:20,  3.11it/s]
Training 1/1 epoch (loss 1.4444):  95%|█████████▍| 1187/1250 [06:40<00:20,  3.12it/s]
Training 1/1 epoch (loss 1.5227):  95%|█████████▍| 1187/1250 [06:40<00:20,  3.12it/s]
Training 1/1 epoch (loss 1.5227):  95%|█████████▌| 1188/1250 [06:40<00:19,  3.11it/s]
Training 1/1 epoch (loss 1.4971):  95%|█████████▌| 1188/1250 [06:40<00:19,  3.11it/s]
Training 1/1 epoch (loss 1.4971):  95%|█████████▌| 1189/1250 [06:40<00:20,  2.99it/s]
Training 1/1 epoch (loss 1.4389):  95%|█████████▌| 1189/1250 [06:41<00:20,  2.99it/s]
Training 1/1 epoch (loss 1.4389):  95%|█████████▌| 1190/1250 [06:41<00:21,  2.85it/s]
Training 1/1 epoch (loss 1.5841):  95%|█████████▌| 1190/1250 [06:41<00:21,  2.85it/s]
Training 1/1 epoch (loss 1.5841):  95%|█████████▌| 1191/1250 [06:41<00:20,  2.93it/s]
Training 1/1 epoch (loss 1.5726):  95%|█████████▌| 1191/1250 [06:41<00:20,  2.93it/s]
Training 1/1 epoch (loss 1.5726):  95%|█████████▌| 1192/1250 [06:41<00:19,  2.97it/s]
Training 1/1 epoch (loss 1.4500):  95%|█████████▌| 1192/1250 [06:42<00:19,  2.97it/s]
Training 1/1 epoch (loss 1.4500):  95%|█████████▌| 1193/1250 [06:42<00:18,  3.02it/s]
Training 1/1 epoch (loss 1.4855):  95%|█████████▌| 1193/1250 [06:42<00:18,  3.02it/s]
Training 1/1 epoch (loss 1.4855):  96%|█████████▌| 1194/1250 [06:42<00:18,  3.09it/s]
Training 1/1 epoch (loss 1.5814):  96%|█████████▌| 1194/1250 [06:42<00:18,  3.09it/s]
Training 1/1 epoch (loss 1.5814):  96%|█████████▌| 1195/1250 [06:42<00:17,  3.11it/s]
Training 1/1 epoch (loss 1.5712):  96%|█████████▌| 1195/1250 [06:43<00:17,  3.11it/s]
Training 1/1 epoch (loss 1.5712):  96%|█████████▌| 1196/1250 [06:43<00:17,  3.08it/s]
Training 1/1 epoch (loss 1.3277):  96%|█████████▌| 1196/1250 [06:43<00:17,  3.08it/s]
Training 1/1 epoch (loss 1.3277):  96%|█████████▌| 1197/1250 [06:43<00:17,  3.05it/s]
Training 1/1 epoch (loss 1.5310):  96%|█████████▌| 1197/1250 [06:43<00:17,  3.05it/s]
Training 1/1 epoch (loss 1.5310):  96%|█████████▌| 1198/1250 [06:43<00:16,  3.09it/s]
Training 1/1 epoch (loss 1.4462):  96%|█████████▌| 1198/1250 [06:43<00:16,  3.09it/s]
Training 1/1 epoch (loss 1.4462):  96%|█████████▌| 1199/1250 [06:43<00:15,  3.19it/s]
Training 1/1 epoch (loss 1.4144):  96%|█████████▌| 1199/1250 [06:44<00:15,  3.19it/s]
Training 1/1 epoch (loss 1.4144):  96%|█████████▌| 1200/1250 [06:44<00:15,  3.13it/s]
Training 1/1 epoch (loss 1.4437):  96%|█████████▌| 1200/1250 [06:44<00:15,  3.13it/s]
Training 1/1 epoch (loss 1.4437):  96%|█████████▌| 1201/1250 [06:44<00:15,  3.12it/s]
Training 1/1 epoch (loss 1.4944):  96%|█████████▌| 1201/1250 [06:45<00:15,  3.12it/s]
Training 1/1 epoch (loss 1.4944):  96%|█████████▌| 1202/1250 [06:45<00:17,  2.81it/s]
Training 1/1 epoch (loss 1.5560):  96%|█████████▌| 1202/1250 [06:45<00:17,  2.81it/s]
Training 1/1 epoch (loss 1.5560):  96%|█████████▌| 1203/1250 [06:45<00:16,  2.77it/s]
Training 1/1 epoch (loss 1.4725):  96%|█████████▌| 1203/1250 [06:45<00:16,  2.77it/s]
Training 1/1 epoch (loss 1.4725):  96%|█████████▋| 1204/1250 [06:45<00:16,  2.78it/s]
Training 1/1 epoch (loss 1.4574):  96%|█████████▋| 1204/1250 [06:46<00:16,  2.78it/s]
Training 1/1 epoch (loss 1.4574):  96%|█████████▋| 1205/1250 [06:46<00:16,  2.70it/s]
Training 1/1 epoch (loss 1.5634):  96%|█████████▋| 1205/1250 [06:46<00:16,  2.70it/s]
Training 1/1 epoch (loss 1.5634):  96%|█████████▋| 1206/1250 [06:46<00:15,  2.84it/s]
Training 1/1 epoch (loss 1.4670):  96%|█████████▋| 1206/1250 [06:46<00:15,  2.84it/s]
Training 1/1 epoch (loss 1.4670):  97%|█████████▋| 1207/1250 [06:46<00:15,  2.81it/s]
Training 1/1 epoch (loss 1.5262):  97%|█████████▋| 1207/1250 [06:47<00:15,  2.81it/s]
Training 1/1 epoch (loss 1.5262):  97%|█████████▋| 1208/1250 [06:47<00:15,  2.71it/s]
Training 1/1 epoch (loss 1.5171):  97%|█████████▋| 1208/1250 [06:47<00:15,  2.71it/s]
Training 1/1 epoch (loss 1.5171):  97%|█████████▋| 1209/1250 [06:47<00:14,  2.77it/s]
Training 1/1 epoch (loss 1.5384):  97%|█████████▋| 1209/1250 [06:47<00:14,  2.77it/s]
Training 1/1 epoch (loss 1.5384):  97%|█████████▋| 1210/1250 [06:47<00:14,  2.77it/s]
Training 1/1 epoch (loss 1.5710):  97%|█████████▋| 1210/1250 [06:48<00:14,  2.77it/s]
Training 1/1 epoch (loss 1.5710):  97%|█████████▋| 1211/1250 [06:48<00:13,  2.81it/s]
Training 1/1 epoch (loss 1.4317):  97%|█████████▋| 1211/1250 [06:48<00:13,  2.81it/s]
Training 1/1 epoch (loss 1.4317):  97%|█████████▋| 1212/1250 [06:48<00:13,  2.89it/s]
Training 1/1 epoch (loss 1.4706):  97%|█████████▋| 1212/1250 [06:48<00:13,  2.89it/s]
Training 1/1 epoch (loss 1.4706):  97%|█████████▋| 1213/1250 [06:48<00:12,  2.90it/s]
Training 1/1 epoch (loss 1.5718):  97%|█████████▋| 1213/1250 [06:49<00:12,  2.90it/s]
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Training 1/1 epoch (loss 1.5113):  97%|█████████▋| 1214/1250 [06:49<00:12,  2.89it/s]
Training 1/1 epoch (loss 1.5113):  97%|█████████▋| 1215/1250 [06:49<00:11,  2.94it/s]
Training 1/1 epoch (loss 1.5213):  97%|█████████▋| 1215/1250 [06:50<00:11,  2.94it/s]
Training 1/1 epoch (loss 1.5213):  97%|█████████▋| 1216/1250 [06:50<00:11,  2.90it/s]
Training 1/1 epoch (loss 1.4996):  97%|█████████▋| 1216/1250 [06:50<00:11,  2.90it/s]
Training 1/1 epoch (loss 1.4996):  97%|█████████▋| 1217/1250 [06:50<00:11,  2.96it/s]
Training 1/1 epoch (loss 1.4384):  97%|█████████▋| 1217/1250 [06:50<00:11,  2.96it/s]
Training 1/1 epoch (loss 1.4384):  97%|█████████▋| 1218/1250 [06:50<00:10,  3.04it/s]
Training 1/1 epoch (loss 1.5890):  97%|█████████▋| 1218/1250 [06:50<00:10,  3.04it/s]
Training 1/1 epoch (loss 1.5890):  98%|█████████▊| 1219/1250 [06:50<00:10,  2.99it/s]
Training 1/1 epoch (loss 1.3565):  98%|█████████▊| 1219/1250 [06:51<00:10,  2.99it/s]
Training 1/1 epoch (loss 1.3565):  98%|█████████▊| 1220/1250 [06:51<00:10,  2.98it/s]
Training 1/1 epoch (loss 1.5299):  98%|█████████▊| 1220/1250 [06:51<00:10,  2.98it/s]
Training 1/1 epoch (loss 1.5299):  98%|█████████▊| 1221/1250 [06:51<00:09,  3.06it/s]
Training 1/1 epoch (loss 1.4789):  98%|█████████▊| 1221/1250 [06:51<00:09,  3.06it/s]
Training 1/1 epoch (loss 1.4789):  98%|█████████▊| 1222/1250 [06:51<00:08,  3.15it/s]
Training 1/1 epoch (loss 1.5145):  98%|█████████▊| 1222/1250 [06:52<00:08,  3.15it/s]
Training 1/1 epoch (loss 1.5145):  98%|█████████▊| 1223/1250 [06:52<00:08,  3.15it/s]
Training 1/1 epoch (loss 1.4646):  98%|█████████▊| 1223/1250 [06:52<00:08,  3.15it/s]
Training 1/1 epoch (loss 1.4646):  98%|█████████▊| 1224/1250 [06:52<00:08,  3.07it/s]
Training 1/1 epoch (loss 1.4852):  98%|█████████▊| 1224/1250 [06:52<00:08,  3.07it/s]
Training 1/1 epoch (loss 1.4852):  98%|█████████▊| 1225/1250 [06:52<00:08,  3.12it/s]
Training 1/1 epoch (loss 1.6219):  98%|█████████▊| 1225/1250 [06:53<00:08,  3.12it/s]
Training 1/1 epoch (loss 1.6219):  98%|█████████▊| 1226/1250 [06:53<00:08,  2.83it/s]
Training 1/1 epoch (loss 1.4843):  98%|█████████▊| 1226/1250 [06:53<00:08,  2.83it/s]
Training 1/1 epoch (loss 1.4843):  98%|█████████▊| 1227/1250 [06:53<00:07,  2.94it/s]
Training 1/1 epoch (loss 1.3903):  98%|█████████▊| 1227/1250 [06:53<00:07,  2.94it/s]
Training 1/1 epoch (loss 1.3903):  98%|█████████▊| 1228/1250 [06:53<00:07,  3.05it/s]
Training 1/1 epoch (loss 1.6273):  98%|█████████▊| 1228/1250 [06:54<00:07,  3.05it/s]
Training 1/1 epoch (loss 1.6273):  98%|█████████▊| 1229/1250 [06:54<00:06,  3.11it/s]
Training 1/1 epoch (loss 1.4770):  98%|█████████▊| 1229/1250 [06:54<00:06,  3.11it/s]
Training 1/1 epoch (loss 1.4770):  98%|█████████▊| 1230/1250 [06:54<00:06,  3.07it/s]
Training 1/1 epoch (loss 1.5178):  98%|█████████▊| 1230/1250 [06:54<00:06,  3.07it/s]
Training 1/1 epoch (loss 1.5178):  98%|█████████▊| 1231/1250 [06:54<00:06,  3.00it/s]
Training 1/1 epoch (loss 1.5180):  98%|█████████▊| 1231/1250 [06:55<00:06,  3.00it/s]
Training 1/1 epoch (loss 1.5180):  99%|█████████▊| 1232/1250 [06:55<00:06,  2.73it/s]
Training 1/1 epoch (loss 1.4576):  99%|█████████▊| 1232/1250 [06:55<00:06,  2.73it/s]
Training 1/1 epoch (loss 1.4576):  99%|█████████▊| 1233/1250 [06:55<00:06,  2.75it/s]
Training 1/1 epoch (loss 1.5662):  99%|█████████▊| 1233/1250 [06:56<00:06,  2.75it/s]
Training 1/1 epoch (loss 1.5662):  99%|█████████▊| 1234/1250 [06:56<00:05,  2.78it/s]
Training 1/1 epoch (loss 1.4561):  99%|█████████▊| 1234/1250 [06:56<00:05,  2.78it/s]
Training 1/1 epoch (loss 1.4561):  99%|█████████▉| 1235/1250 [06:56<00:05,  2.82it/s]
Training 1/1 epoch (loss 1.5677):  99%|█████████▉| 1235/1250 [06:56<00:05,  2.82it/s]
Training 1/1 epoch (loss 1.5677):  99%|█████████▉| 1236/1250 [06:56<00:05,  2.77it/s]
Training 1/1 epoch (loss 1.4726):  99%|█████████▉| 1236/1250 [06:57<00:05,  2.77it/s]
Training 1/1 epoch (loss 1.4726):  99%|█████████▉| 1237/1250 [06:57<00:04,  2.73it/s]
Training 1/1 epoch (loss 1.5596):  99%|█████████▉| 1237/1250 [06:57<00:04,  2.73it/s]
Training 1/1 epoch (loss 1.5596):  99%|█████████▉| 1238/1250 [06:57<00:04,  2.80it/s]
Training 1/1 epoch (loss 1.3780):  99%|█████████▉| 1238/1250 [06:57<00:04,  2.80it/s]
Training 1/1 epoch (loss 1.3780):  99%|█████████▉| 1239/1250 [06:57<00:03,  2.92it/s]
Training 1/1 epoch (loss 1.6324):  99%|█████████▉| 1239/1250 [06:58<00:03,  2.92it/s]
Training 1/1 epoch (loss 1.6324):  99%|█████████▉| 1240/1250 [06:58<00:03,  2.93it/s]
Training 1/1 epoch (loss 1.4356):  99%|█████████▉| 1240/1250 [06:58<00:03,  2.93it/s]
Training 1/1 epoch (loss 1.4356):  99%|█████████▉| 1241/1250 [06:58<00:02,  3.02it/s]
Training 1/1 epoch (loss 1.4644):  99%|█████████▉| 1241/1250 [06:58<00:02,  3.02it/s]
Training 1/1 epoch (loss 1.4644):  99%|█████████▉| 1242/1250 [06:58<00:02,  3.04it/s]
Training 1/1 epoch (loss 1.3843):  99%|█████████▉| 1242/1250 [06:59<00:02,  3.04it/s]
Training 1/1 epoch (loss 1.3843):  99%|█████████▉| 1243/1250 [06:59<00:02,  3.07it/s]
Training 1/1 epoch (loss 1.5747):  99%|█████████▉| 1243/1250 [06:59<00:02,  3.07it/s]
Training 1/1 epoch (loss 1.5747): 100%|█████████▉| 1244/1250 [06:59<00:01,  3.09it/s]
Training 1/1 epoch (loss 1.5588): 100%|█████████▉| 1244/1250 [06:59<00:01,  3.09it/s]
Training 1/1 epoch (loss 1.5588): 100%|█████████▉| 1245/1250 [06:59<00:01,  3.14it/s]
Training 1/1 epoch (loss 1.5203): 100%|█████████▉| 1245/1250 [07:00<00:01,  3.14it/s]
Training 1/1 epoch (loss 1.5203): 100%|█████████▉| 1246/1250 [07:00<00:01,  3.07it/s]
Training 1/1 epoch (loss 1.3928): 100%|█████████▉| 1246/1250 [07:00<00:01,  3.07it/s]
Training 1/1 epoch (loss 1.3928): 100%|█████████▉| 1247/1250 [07:00<00:00,  3.14it/s]
Training 1/1 epoch (loss 1.4681): 100%|█████████▉| 1247/1250 [07:00<00:00,  3.14it/s]
Training 1/1 epoch (loss 1.4681): 100%|█████████▉| 1248/1250 [07:00<00:00,  2.90it/s]
Training 1/1 epoch (loss 1.5618): 100%|█████████▉| 1248/1250 [07:01<00:00,  2.90it/s]
Training 1/1 epoch (loss 1.5618): 100%|█████████▉| 1249/1250 [07:01<00:00,  2.76it/s]
Training 1/1 epoch (loss 1.5405): 100%|█████████▉| 1249/1250 [07:01<00:00,  2.76it/s]
Training 1/1 epoch (loss 1.5405): 100%|██████████| 1250/1250 [07:01<00:00,  2.95it/s]
Training 1/1 epoch (loss 1.5405): 100%|██████████| 1250/1250 [07:01<00:00,  2.97it/s]
tokenizer config file saved in /aifs4su/hansirui_1st/boyuan/resist/setting3-safety/tinyllama-2T/tinyllama-2T-s3-Q1-40k/tokenizer_config.json
Special tokens file saved in /aifs4su/hansirui_1st/boyuan/resist/setting3-safety/tinyllama-2T/tinyllama-2T-s3-Q1-40k/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 0x15505f9df850>>
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/by-align/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 449, in wrapper
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/by-align/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 391, in wrapper
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/by-align/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2106, in finish
    return self._finish(exit_code)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/aifs4su/hansirui_1st/miniconda3/envs/by-align/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2127, in _finish
    self._atexit_cleanup(exit_code=exit_code)
  File "/aifs4su/hansirui_1st/miniconda3/envs/by-align/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2352, in _atexit_cleanup
    self._on_finish()
  File "/aifs4su/hansirui_1st/miniconda3/envs/by-align/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2609, in _on_finish
    wait_with_progress(
  File "/aifs4su/hansirui_1st/miniconda3/envs/by-align/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/by-align/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/by-align/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/by-align/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