Pytorch/TF2 determinism
Check to see if the models have the same results when in eval mode (pt) or when training=False (tf)
# [Codecov](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327?src=pr&el=h1) Report
> Merging [#1327](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327?src=pr&el=desc) into [tf2](https://codecov.io/gh/huggingface/pytorch-transformers/commit/128bdd4c3549e2a1401af87493ff6be467c79c14?src=pr&el=desc) will **increase** coverage by `0.01%`.
> The diff coverage is `100%`.

[![Impacted file tree graph](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327/graphs/tree.svg?width=650&token=9qOlN6Hb1c&height=150&src=pr)](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##              tf2    #1327      +/-   ##
==========================================
+ Coverage   85.99%   86.01%   +0.01%     
==========================================
  Files          79       79              
  Lines       12028    12041      +13     
==========================================
+ Hits        10344    10357      +13     
  Misses       1684     1684
```


| [Impacted Files](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [pytorch\_transformers/tests/modeling\_common\_test.py](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327/diff?src=pr&el=tree#diff-cHl0b3JjaF90cmFuc2Zvcm1lcnMvdGVzdHMvbW9kZWxpbmdfY29tbW9uX3Rlc3QucHk=) | `74.01% <100%> (+0.4%)` | :arrow_up: |
| [...orch\_transformers/tests/modeling\_tf\_common\_test.py](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327/diff?src=pr&el=tree#diff-cHl0b3JjaF90cmFuc2Zvcm1lcnMvdGVzdHMvbW9kZWxpbmdfdGZfY29tbW9uX3Rlc3QucHk=) | `95% <100%> (+0.26%)` | :arrow_up: |

------

[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327?src=pr&el=continue).
> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)
> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`
> Powered by [Codecov](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327?src=pr&el=footer). Last update [128bdd4...1761d20](https://codecov.io/gh/huggingface/pytorch-transformers/pull/1327?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
<|||||>Yes, good!