Trainer state vitalization in TrOCR checkpoint 
Hello, everyone, I am trying to make one dictionary  in py to collect all necessary data in `traner_state.json ` in the TrOCR model in the trainer class (I am not using collab so I need to build my own dict and visualize it cer,wer, steps, epochs, ...) 
her the py code I wrote
 `import pandas as pd df = pd.read_json('/checkpoint-2000/trainer_state.json')
 # print(df.head()) # print(df.to_string()) column_names = list(df.columns.values) print(column_names) 
# log_history = column_names[7] 
# print(log_history[0]) import json 
# Opening JSON file with open('/checkpoint-2000/trainer_state.json') as json_file: data = json.load(json_file) 
# print("Type:", type(data)) # print('show log_history', data['log_history']) log_history =data['log_history'] 
# print('\nlog_history\n',log_history[0]['epoch']) odd_dict , even_dict= {},{} log_history_dict  = {} for count, value in enumerate(log_history): log_history_dict[count] = value print('\nlog_history_dict \n', log_history_dict) for k ,v in log_history_dict.items(): if k % 2 == 0: even_dict[k] = v else: odd_dict[k] = v
 # print('\n even_dict',even_dict , '\nodd_dict' , odd_dict) 
# log_history_clean = {} # for v in odd_dict.values(): 
#     log_history_clean ['epoch'] = v['epoch'] #     log_history_clean['learning_rate']= v['learning_rate'] 
#     log_history_clean['loss']= v['loss']
 #     log_history_clean['step']= v['step'] 
# 	# for key ,value in v.items(): 
# 	#      log_history_clean[key] = value 
# 	    #  print(key,value) # print(log_history_clean) 
# # --------- #    {
 #       "best_metric": null, 
#       "best_model_checkpoint": null, 
#       "epoch": 1.4265335235378032, 
#       "global_step": 2000, 
#       "is_hyper_param_search": false, 
#       "is_local_process_zero": true, 
#       "is_world_process_zero": true, 
#       "log_history":[ 
#                      { 
#                          "epoch": 0.36, 
#                          "learning_rate": 3.94339514978602e-05, 
#                          "loss": 0.5516, 
#                          "step": 500 
#                        }, 
#                        { 
#                          "epoch": 0.36,
 #                          "eval_cer": 4.407666576772222,
 #                          "eval_loss": 0.25193867087364197, 
#                          "eval_runtime": 1338.5651, 
#                          "eval_samples_per_second": 13.973, 
#                          "eval_steps_per_second": 0.583,
 #                          "eval_wer": 17.79562559983836, 
#                          "step": 500 
#                           }, 
#                     ] 
#   }` 
the expected new JSON file I want to make it like this format : `
# Goal : {  'index' : 0 
#           'epoch': 0.36 , 
#           'learning_rate': 3.94339514978602e-05, 
#           'loss': 0.5516,
 #           'step': 500 , 
#           'epoch': 0.36 
#           'eval_cer': 4.407666576772222, 
#           'eval_loss': 0.25193867087364, 
#           'eval_runtime': 1338.5651, 
#           'eval_samples_per_second': 13.973, 
#           'eval_steps_per_second': 0.583, 
#           'eval_wer': 17.79562559983836, 
#           'step': 500, 
# # # # # # # # # # # # }`
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