add xlm-roberta-large-xnli model card
# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=h1) Report
> Merging [#6723](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a25c9fc8e14f3e8914116e6142af2a9589dc8e63?el=desc) will **decrease** coverage by `0.04%`.
> The diff coverage is `n/a`.

[![Impacted file tree graph](https://codecov.io/gh/huggingface/transformers/pull/6723/graphs/tree.svg?width=650&height=150&src=pr&token=9qOlN6Hb1c)](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=tree)

```diff
@@            Coverage Diff             @@
##           master    #6723      +/-   ##
==========================================
- Coverage   79.00%   78.96%   -0.05%     
==========================================
  Files         156      156              
  Lines       28405    28405              
==========================================
- Hits        22442    22429      -13     
- Misses       5963     5976      +13     
```


| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=tree) | Coverage Δ | |
|---|---|---|
| [src/transformers/generation\_tf\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/6723/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9nZW5lcmF0aW9uX3RmX3V0aWxzLnB5) | `80.70% <0.00%> (-3.01%)` | :arrow_down: |
| [src/transformers/file\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/6723/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9maWxlX3V0aWxzLnB5) | `82.41% <0.00%> (-0.26%)` | :arrow_down: |

------

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> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=footer). Last update [a25c9fc...715d491](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).
<|||||>Merging so I can tweet, but lmk if anything is off and I'll update it.<|||||>looks good! Fixed tiny typos in 3242e4d9<|||||>Hi @joeddav! Could you share your hyperparameters for training the model (I assume you used the `run_glue`)? Would you say that the last phase of training helped significantly?