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# Benchmark Albert

- [Code - Albert Benchmark](https://github.com/legacyai/tf-transformers/tree/main/benchmark/albert)

This is used to benchmark the performance of Albert model on text generation tasks. We evaluate it using 3 frameworks.
Tensorflow-Transformers (default), HuggingFace PyTorch, HuggingFace Tensorflow and HuggingFace JAX (pending).
Executing these scripts are fairly straightfoward and expect users to install the necessary libraries before executing
the benchmark script.

All the configuration are managed using [Hydra](https://github.com/facebookresearch/hydra).

-> Machine - **Tesla V100-SXM2 32GB**

-> Tensorflow-version - **2.4.1**

-> Huggingface-Transformer-Version - **4.12.5**

-> PyTorch-Version - **1.9.0**

## Tensorflow-Transformers. (tft)

The default benchmark mode is ```tft```.
1. To execute ```tft``` (default) :
    ```python run.py benchmark=tft```

2. To execute ```type``` eg ```keras_model``` :
    ```python run.py benchmark=tft benchmark.model.type=keras_model```

        * a. keras_model    -  Uses tf.keras.Model.
        * b. saved_model    -  Uses tf.saved_model, ```for``` loop to decode .
        * c. saved_model_tftext   -  Uses tf.saved_model, ```model + text ``` is serialized together.


## HuggingFace-Tensorflow. (hf-tf)

1. To execute ```hf-tf``` (default) :
    ```python run.py benchmark=hf benchmark.model.type=tf```


## HuggingFace-PyTorch. (hf-pt)

1. To execute ```hf-pt``` (default) :
    ```python run.py benchmark=hf benchmark.model.type=pt```


## HuggingFace-JAX. (hf-jax) (Not Available)

1. To execute ```hf-jax``` (default) :
    ```python run.py benchmark=hf benchmark.model.type=jax```


## Official Benchmarks on IMDB

```
Text Classification:
|                            |   batch_size | time (s)      |   samples/second |
|:---------------------------|-------------:|:-------------:|:-----------|------
| tft + saved_model          |           32 |  308.35 sec   |               82 |
| tft + saved_model + tf-text|           32 |  311.16 sec   |               80 |
| tft + keras_model + tf-text|           32 |  313.23 sec   |               80 |
| hf_tf                      |           32 |  303.42 sec   |               83 |
| hf_pt                      |           32 |  284.61 sec   |               88 |
| hf_jax (pmap)              |           32 |  N/A          |              N/A |
```