MIND trained for 3 epochs on fixed balanced data without user_embedding initialization + contrastive loss
Browse files- config.json +0 -1
- pytorch_model.bin +2 -2
config.json
CHANGED
|
@@ -27,7 +27,6 @@
|
|
| 27 |
"num_users": 50000,
|
| 28 |
"pad_token_id": 0,
|
| 29 |
"position_embedding_type": "absolute",
|
| 30 |
-
"problem_type": "single_label_classification",
|
| 31 |
"torch_dtype": "float32",
|
| 32 |
"transformers_version": "4.29.2",
|
| 33 |
"type_vocab_size": 2,
|
|
|
|
| 27 |
"num_users": 50000,
|
| 28 |
"pad_token_id": 0,
|
| 29 |
"position_embedding_type": "absolute",
|
|
|
|
| 30 |
"torch_dtype": "float32",
|
| 31 |
"transformers_version": "4.29.2",
|
| 32 |
"type_vocab_size": 2,
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:230d258a2ce33a1e9897447e33a83ef8f50ea71fdfa6d6f1ba4ac25052f6b5a9
|
| 3 |
+
size 79847270
|