Model release

.gitattributes

@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,39 @@
+# oBERT-12-upstream-pruned-unstructured-90-finetuned-qqp
+
+This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
+
+
+It corresponds to the model presented in the `Table 2 - oBERT - QQP 90%`.
+
+```
+Pruning method: oBERT upstream unstructured + sparse-transfer to downstream
+Paper: https://arxiv.org/abs/2203.07259
+Dataset: QQP
+Sparsity: 90%
+Number of layers: 12
+```
+
+The dev-set performance reported in the paper is averaged over three seeds, and we release the best model (marked with `(*)`):
+
+```
+| oBERT 90%    | acc   | F1    |
+| ------------ | ----- | ----- |
+| seed=42   (*)| 90.93 | 87.77 |
+| seed=3407    | 90.70 | 87.49 |
+| seed=54321   | 90.86 | 87.68 |
+| ------------ | ----- | ----- |
+| mean         | 90.83 | 87.65 |
+| stdev        | 0.117 | 0.143 |
+```
+
+Code: _coming soon_
+
+## BibTeX entry and citation info
+```bibtex
+@article{kurtic2022optimal,
+  title={The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models},
+  author={Kurtic, Eldar and Campos, Daniel and Nguyen, Tuan and Frantar, Elias and Kurtz, Mark and Fineran, Benjamin and Goin, Michael and Alistarh, Dan},
+  journal={arXiv preprint arXiv:2203.07259},
+  year={2022}
+}
+```

all_results.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d29c1563728b0f3dea0a0adf19d9350376ba464439979668c2f35bcd75ee64ea
+size 885

config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17f4bc8a78be847cb5ed1d04ca2c60ba026c4f7145f32c150091612d321d6a29
+size 669

eval_results.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96d37a7e1d0bc3ebf2ba142f024fc73146f83fa671be2c6c6f50aa351eb7966d
+size 436

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60c6a72216379d4aebe6d4ef8f728cbf89125216bc9b2afa8a2b8cc599047889
+size 438024457

special_tokens_map.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
+size 112

tokenizer_config.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c6801eca952ba58ada6a33f687d17655bd3a9a7ba2052f79ac9282c10a27ff6
+size 456

train_results.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3e363387b86fcb52d34e0fa4ca1ddd64614110a2cbe27d34b911aa8d237fdb2
+size 469

trainer_state.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ada18893d5ded826113c68cc6f1dea44d0eddbf571fcc7e08267bbc1004d5d2
+size 24980

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b2cf8d44475c79050ee33574118daf27b338fcc9badf89658e468698ed7f998
+size 2415