ekurtic commited on
Commit
f132844
1 Parent(s): 9928351

Model release

Browse files
.gitattributes CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
25
  *.zip filter=lfs diff=lfs merge=lfs -text
26
  *.zstandard filter=lfs diff=lfs merge=lfs -text
27
  *tfevents* filter=lfs diff=lfs merge=lfs -text
28
+ *.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # oBERT-12-upstream-pruned-unstructured-90-finetuned-mnli
2
+
3
+ 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).
4
+
5
+
6
+ It corresponds to the model presented in the `Table 2 - oBERT - MNLI 90%`.
7
+
8
+ ```
9
+ Pruning method: oBERT upstream unstructured + sparse-transfer to downstream
10
+ Paper: https://arxiv.org/abs/2203.07259
11
+ Dataset: MNLI
12
+ Sparsity: 90%
13
+ Number of layers: 12
14
+ ```
15
+
16
+ The dev-set performance reported in the paper is averaged over three seeds, and we release the best model (marked with `(*)`):
17
+
18
+ ```
19
+ | oBERT 90% | m-acc | mm-acc|
20
+ | ------------ | ----- | ----- |
21
+ | seed=42 (*)| 82.40 | 83.40 |
22
+ | seed=3407 | 82.15 | 83.41 |
23
+ | seed=54321 | 82.32 | 83.38 |
24
+ | ------------ | ----- | ----- |
25
+ | mean | 82.29 | 83.40 |
26
+ | stdev | 0.127 | 0.015 |
27
+ ```
28
+
29
+ Code: _coming soon_
30
+
31
+ ## BibTeX entry and citation info
32
+ ```bibtex
33
+ @article{kurtic2022optimal,
34
+ title={The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models},
35
+ author={Kurtic, Eldar and Campos, Daniel and Nguyen, Tuan and Frantar, Elias and Kurtz, Mark and Fineran, Benjamin and Goin, Michael and Alistarh, Dan},
36
+ journal={arXiv preprint arXiv:2203.07259},
37
+ year={2022}
38
+ }
39
+ ```
all_results.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fd4896fbfb6c2a35fbae5c36557a847f907043fea4d4148ea64390491fc429e
3
+ size 801
config.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ecc5f4bda1b1ec69e586ea9fcc4b442fbd5338d0a924953bb692b1a0c64deb2
3
+ size 825
eval_results.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97418893a1271f631c7ad264746a12ceb81d60d24d94e5c7fba6a4a28308ffc8
3
+ size 352
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:981a78026890e44b269d935378018a9805491927fb637af50b05d22f8f3a7db0
3
+ size 438027529
special_tokens_map.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
3
+ size 112
tokenizer_config.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f24bc678b22d6f8752ff99e9428c8c5bb9928b4e6574d8a4e64cf7e62d7083bc
3
+ size 465
train_results.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5ca5106c71038a444af203be0480661b9e2afc9215dffe4c6e921b83ff2abe7
3
+ size 469
trainer_state.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:149c72acd4bfc817af1fdfb0f383e8915b0c8b55d5f7a15efc6db19fe34de228
3
+ size 26107
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4112e6e5b0de7dc5aeca6f4605b8027afa10ae96137d81f9e4a22eba578cdb6
3
+ size 2415
vocab.txt ADDED
The diff for this file is too large to render. See raw diff