Commit ·
5581311
1
Parent(s): b2f73bc
Add evaluation results on the default config and train split of multi_nli
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and train split of the [multi_nli](https://huggingface.co/datasets/multi_nli) dataset by @2552, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-multi_nli-default-725a45-31703144975).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=multi_nli).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=multi_nli).
README.md
CHANGED
|
@@ -1,11 +1,78 @@
|
|
| 1 |
---
|
| 2 |
-
pipeline_tag: zero-shot-classification
|
| 3 |
datasets:
|
| 4 |
- snli
|
| 5 |
- anli
|
| 6 |
- multi_nli
|
| 7 |
- multi_nli_mismatch
|
| 8 |
- fever
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
# A2T Entailment model
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
datasets:
|
| 3 |
- snli
|
| 4 |
- anli
|
| 5 |
- multi_nli
|
| 6 |
- multi_nli_mismatch
|
| 7 |
- fever
|
| 8 |
+
pipeline_tag: zero-shot-classification
|
| 9 |
+
model-index:
|
| 10 |
+
- name: HiTZ/A2T_RoBERTa_SMFA_ACE-arg
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
type: natural-language-inference
|
| 14 |
+
name: Natural Language Inference
|
| 15 |
+
dataset:
|
| 16 |
+
name: multi_nli
|
| 17 |
+
type: multi_nli
|
| 18 |
+
config: default
|
| 19 |
+
split: train
|
| 20 |
+
metrics:
|
| 21 |
+
- type: accuracy
|
| 22 |
+
value: 0.6247994662619493
|
| 23 |
+
name: Accuracy
|
| 24 |
+
verified: true
|
| 25 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODJmZGIxOWUzY2NlYzA1YmVlY2NlY2VkNDY1ZGUxNGNjOTkzNDVjYTNjMmM4NmQwNzhjMzE1MjhkYzZmNmVkMiIsInZlcnNpb24iOjF9.6Vjo51HTD0hV1Z_YqbJ8Wxyd3_udrVKtdS7j_h_gnFLO60REHZbgxw84OmqTboWSfvQ-n1Z_UVPHmRHwkDvkAA
|
| 26 |
+
- type: f1
|
| 27 |
+
value: 0.6083194863310464
|
| 28 |
+
name: F1 Macro
|
| 29 |
+
verified: true
|
| 30 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWZkZjNhZDAwZDRiMWQyYzA3NjA2MmMxYmZlYTA1YjA5NzU5NTgwNzMwMzRlODIxZDI4MmE1YjQ2NDE5ZWEzNyIsInZlcnNpb24iOjF9.8bWPVz2izh78lOt_27vGBgI-RMfbufvnEQMmrDiTCLyxfyUzm-akU1Dqlfsoa2hTlUqUFS8xI6YFLkjBjsPjBQ
|
| 31 |
+
- type: f1
|
| 32 |
+
value: 0.6247994662619493
|
| 33 |
+
name: F1 Micro
|
| 34 |
+
verified: true
|
| 35 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzNlNDA2NzQxODE5OWIyM2YwMjAyNzY0MzZjOTBmMmY1YWJkZWJhZDYzNDk3NTRmMjkyMzc1YmJiNDhiMGRhMSIsInZlcnNpb24iOjF9.HYcXpLz3jyWoYWM1_RrLVE1LIHHayh4_a9uP3Xc-JZcX4tJYtyIf2Ly0rMwcqunhTUAk2dxST-U0ayDau3-zBQ
|
| 36 |
+
- type: f1
|
| 37 |
+
value: 0.6083196868132077
|
| 38 |
+
name: F1 Weighted
|
| 39 |
+
verified: true
|
| 40 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDdhYWMwMDRiOWVmODUwNDZiYTA2ZjAwOTBkYmZmOWZmYTUzNTkxN2U1MmUwYzVmODI4MzMxMmE0NWIyOGY3MCIsInZlcnNpb24iOjF9.X2dJ18nHzXEbC5Jw8olW1OOAcS6x_Pv5ZtksBC1A64o0h6DjWPi9pVxbyMLvyit3DUfUlHEf2WnxjTPv_9CgBw
|
| 41 |
+
- type: precision
|
| 42 |
+
value: 0.7683197697388161
|
| 43 |
+
name: Precision Macro
|
| 44 |
+
verified: true
|
| 45 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDg3Mzg1NzUwM2JkMWEzOWY2NDRmMzFjNzBiNDAwNDcyMzg3NWY3YmU4YTU5MTg2ZDFmNjAwM2M1OTVlNGYwNiIsInZlcnNpb24iOjF9._nt9T1Pcp6SAS3JqDrFxWMU-r62LGmRZwTHnYSaGJz-84zwgl7bG3whRSlGHtbX1kaGfXLhoLfgLOXcY3hNFCQ
|
| 46 |
+
- type: precision
|
| 47 |
+
value: 0.6247994662619493
|
| 48 |
+
name: Precision Micro
|
| 49 |
+
verified: true
|
| 50 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTBhZThlY2ViZmI4NGIxYWNlM2VhZTY4OTlhNjc5NGFiZGUzNjFjMjNjZmFiYWY5ZmFhZmViNDJkNjJmMmYyOSIsInZlcnNpb24iOjF9.qHoSFkgZjv6zW2LW2DmBcEpcx5RyJm0mHOVObl7WxodfxdCucQWR2j3iUil_pQKe_dpKqAWH0qmBCjaWSyvaBA
|
| 51 |
+
- type: precision
|
| 52 |
+
value: 0.7683173996229193
|
| 53 |
+
name: Precision Weighted
|
| 54 |
+
verified: true
|
| 55 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2JlZmFiMjcyODY4YjQ0MjAyNTE5MTgyOThkY2I3MTM1OTBlODZlMDMyNDAwZTUxMDE1YzY5MzIxYTk3NmI3NSIsInZlcnNpb24iOjF9.J6FA5wTUwl9ppFxV5mL8YXTHd4-eQb6lnOtliNFcnljOyQRleBnAkBSYt_sUvQw-GRw7rSYFh7nuMjJjZsqyDA
|
| 56 |
+
- type: recall
|
| 57 |
+
value: 0.6247964985206748
|
| 58 |
+
name: Recall Macro
|
| 59 |
+
verified: true
|
| 60 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTYwZGNiNzM0MmFhMmUzNDkxZDJiM2JjYmZiMmI5NWM2MDA4NDFkZTQ3ZWE0MDRhNDU5NjdmMzhhNDZmYTkzYSIsInZlcnNpb24iOjF9.VBZpxaISF5T0aaE12XGAuDzu8YLIM7mcERhTtgns7btneFi2WUp54yF6RfzSzJrRk5zpFpboca4Nk6-KlZQzDw
|
| 61 |
+
- type: recall
|
| 62 |
+
value: 0.6247994662619493
|
| 63 |
+
name: Recall Micro
|
| 64 |
+
verified: true
|
| 65 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGY2ZDRiMmI1N2U5MzMxYThlODA2NmQzYzUzZTJiZWI3ZjMyYWI2NzViNmQ2NDcyY2I2NzE1MjBkMzExZWMzNyIsInZlcnNpb24iOjF9.08uvemkvhM05HEuLuDOwSFEMW1920CJxmCkGHhHu_jiQamVeAby6wNNqq7qUeNjkH-rAVUHqBvKUyL25AvzbCw
|
| 66 |
+
- type: recall
|
| 67 |
+
value: 0.6247994662619493
|
| 68 |
+
name: Recall Weighted
|
| 69 |
+
verified: true
|
| 70 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjZjZmU4M2Y3NmI4MDUzNjMzZDIzZmRhNzBhNjE5NmJjMGQ5ZmRiMTBhMjAyYTRkYmJmMmNjMmNkOTQwNzQ0YiIsInZlcnNpb24iOjF9.19f8dx7hjILripYQCRSubvEpmldmK8Kq7_6JwtROWrA4yXLSgjQPrf7U5nl4Ni4wx6Fp39g-TRY2jy8inFuFDA
|
| 71 |
+
- type: loss
|
| 72 |
+
value: 2.539830446243286
|
| 73 |
+
name: loss
|
| 74 |
+
verified: true
|
| 75 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWExYmIzYjkwZmU1Yjk5ZmVjMTY4ZTFlYTNlZjNiZTQ4YTIxYWU1ODBiNGFkZDgwNzk5Yjg0N2YzNzZmMTc4MiIsInZlcnNpb24iOjF9.uZi7atczlCaiSq41tCB0zZZRG195-R3tL3HsOqrUMsiwlVvAU_ynicsA67tVg43_ZBxNWmEnq104kSw9qgZRCA
|
| 76 |
---
|
| 77 |
|
| 78 |
# A2T Entailment model
|