Update README.md

README.md

@@ -32,47 +32,30 @@ A model that can detect 101 variety of food.
 ## Training Details
 
 ### Training Data
--**training_loss:** 1.
--**train_runtime:** 3538
--**train_samples_per_second:** 21.409
--**train_steps_per_second:** 1.338
--**total_flos:** 5.8752267138432e+18
--**train_loss:** 1.7299224627936907
--**epoch:** 1.0
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
+<ul>-**training_loss:**</ul>
+<ul>-**train_runtime:** 3538</ul>
+<ul>-**train_samples_per_second:** 21.409</ul>
+<ul>-**train_steps_per_second:** 1.338</ul>
+<ul>-**total_flos:** 5.8752267138432e+18</ul>
+<ul>-**train_loss:** 1.7299224627936907</ul>
+<ul>-**epoch:** 1.0</ul>
 
 #### Training Hyperparameters
 
 The following hyperparameters were used during training:
 
--**learning_rate:** 5e-05
--**train_batch_size**: 16
--**eval_batch_size:** 16
--**seed:** 42
--**optimizer:** Adam with betas=(0.9,0.999) and epsilon=1e-08
--**lr_scheduler_type:** linear
--**num_epochs:** 1
-
-[More Information Needed]
+<ul>-**learning_rate:** 5e-05</ul>
+<ul>-**train_batch_size**: 16</ul>
+<ul>-**seed:** 42</ul>
+<ul>-**optimizer:** Adam with betas=(0.9,0.999) and epsilon=1e-08</ul>
+<ul>-**lr_scheduler_type:** linear</ul>
+<ul>-**num_epochs:** 1</ul>
 
 ## Evaluation
 
 <!-- This section describes the evaluation protocols and provides the results. -->
--**eval_loss:** 0.7166455984115601
--**eval_accuracy:** 0.8753663366336634 
--**eval_runtime:** 446.9362
--**eval_samples_per_second:** 56.496 
--**eval_steps_per_second:** 3.533 
--**epoch:** 1.0
-
+<ul>-**eval_loss:** 0.7166455984115601</ul>
+<ul>-**eval_accuracy:** 0.8753663366336634 </ul>
+<ul>-**eval_runtime:** 446.9362</ul>
+<ul>-**eval_steps_per_second:** 3.533</ul>
+<ul>-**epoch:** 1.0</ul>