AIML.MHW
Hi @Milehigh-wrld,


As per your query even though the conversion is successful, but model produces wrong results and less due to insufficient data, architectural flaws, in correct hyperparameter tuning.  The model produces correct results and is slower than expected: This is right, even though the model produced correct results, based on the target hardware the speed might differ. Based on the hardware different optimization techniques help to improve speed.
 
In your use case, the tflite model conversion is successful and accuracy also as expected. Refer the [gist](https://colab.sandbox.google.com/gist/LakshmiKalaKadali/efcebb0f6170263c3c05a8305db4c21e/tflite_63081_accuracy_speed.ipynb) for accuracy and size.  Still if any specific query regarding the model, please feel to elaborate.

The issue is the same as  [62833]([url](https://github.com/tensorflow/tensorflow/issues/62833)). 

Thank You

 Closing as it is only the template
### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks

1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)
- Include code to invoke the TFLite Converter Python API and the errors.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

### 5. (optional) Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.