autoevaluator
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
755fb5c
| language: | |
| - en | |
| license: mit | |
| tags: | |
| - text-classification | |
| - zero-shot-classification | |
| datasets: | |
| - multi_nli | |
| - anli | |
| - fever | |
| metrics: | |
| - accuracy | |
| pipeline_tag: zero-shot-classification | |
| model-index: | |
| - name: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli | |
| results: | |
| - task: | |
| type: natural-language-inference | |
| name: Natural Language Inference | |
| dataset: | |
| name: anli | |
| type: anli | |
| config: plain_text | |
| split: test_r3 | |
| metrics: | |
| - type: accuracy | |
| value: 0.495 | |
| name: Accuracy | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWViYjQ5YTZlYjU4NjQyN2NhOTVhNjFjNGQyMmFiNmQyZjRkOTdhNzJmNjc3NGU4MmY0MjYyMzY5MjZhYzE0YiIsInZlcnNpb24iOjF9.S8pIQ7gEGokd_wKXMi6Bc3B2DThIP3cvVkTFErZ-2JxXTSCy1TBuulY3dzGfaiP7kTHbL52OuBhG_-wb7Ue9DQ | |
| - type: precision | |
| value: 0.4984740618243923 | |
| name: Precision Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTllZDU3NmVmYjk4ZmYzNjAwNzExMGZjNDMzOWRkZjRjMTRhNzhlZmI0ZmNlM2E0Mzk4OWE5NTM5MTYyYWU5NCIsInZlcnNpb24iOjF9.WHz_TUJgPVn-rU-9vBCDdmSMOuWzADwr09rJY6ktqRM46zytbyWs7Vcm7jqDrTkfU-rp0_7IyoNv_xEsKhJbBA | |
| - type: precision | |
| value: 0.495 | |
| name: Precision Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjllODE3ZjUxZDhiMTI0MzZmYjY5OTUwYWI2OTc4ZjJhNTVjMjY2ODdkMmJlZjQ5YWQ1Mjk2ZThmYjJlM2RlYSIsInZlcnNpb24iOjF9.a9V06-O7l9S0Bv4vj0aard8128SAP61DZdXl_3XqdmNgt_C6KAoDBVueF2M2kF_kT6lRfEz6YW0ACIfJNXDYAA | |
| - type: precision | |
| value: 0.4984357572868885 | |
| name: Precision Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjhiMzYzY2JiMmYwN2YxYzEwZTQ3NGI1NzFmMzliNjJkMDE2YzI5Njg1ZjEzMGIxODdiMDNmYmI4Y2Y2MmJkMiIsInZlcnNpb24iOjF9.xvZZaUMogw9MJjb3ls6h5liDlTqHMmNgqk6KbyDqQWfCcD255brCU3Xo6nECwaChS4te0dQu_iWGBqR_o2kYAA | |
| - type: recall | |
| value: 0.49461028192371476 | |
| name: Recall Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDVjYTEzOTI0ZjVhOTk3ZTkzZmZhNTk5ODcxMWJhYWU4ZTRjYWVhNzcwOWY5YmI2NGFlYWE4NjM5MDY5NTExOSIsInZlcnNpb24iOjF9.xgHCB2rbCQBzHzUokw4u8JyOdhtF4yvPv1t8t7YiEkaAuM5MAPsVuCZ1VtlLapHS_IWetlocizsVl6akjh3cAQ | |
| - type: recall | |
| value: 0.495 | |
| name: Recall Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTEyYmM0ZDQ0M2RiMDNhNjIxNzQ4OWZiNTBiOTAwZDFkNjNmYjBhNjA4NmQ0NjFkNmNiZTljNDkxNDg3NzIyYSIsInZlcnNpb24iOjF9.3FJPwNtwgFNvMjVxVAayaVXXR1sWlr0sqAYmXzmMzMxl7IJh6RS77dGPwFaqD3jamLVBiqPn9wsfz5lFK5yTAA | |
| - type: recall | |
| value: 0.495 | |
| name: Recall Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmY1MjZlZTQ4OTg5YzdlYmFhZDMzMmNlNjNkYmIyZGI4M2NjZjQ1ZDVkNmZkMTUxNjI3M2UwZmI1MDM1NDYwOSIsInZlcnNpb24iOjF9.cnbM6xjTLRa9z0wEDGd_Q4lTXVLRKIQ6_YLGLjf-t7Nto4lzxAeWF-RrwA0Mq9OPITlJq2Jk1Eg_0Utb13d9Dg | |
| - type: f1 | |
| value: 0.4942810999491704 | |
| name: F1 Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2U3NGM1MDM4YTM4NzQxMGM4ZTIyZDM2YTQ1MGNlZWM1MzEzM2MxN2ZmZmRmYTM0OWJmZGJjYjM5OWEzMmZjNSIsInZlcnNpb24iOjF9.vMtge1F-tmMn9D3aVUuwcNEXjqpNgEyHAl9f5UDSoTYcOgTwi2vi5yRGRCl8y6Fx7BtgaCwMyoZVNbP5-GRtCA | |
| - type: f1 | |
| value: 0.495 | |
| name: F1 Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjBjMTQ5MmQ5OGE5OWJjZGMyNzg4N2RmNDUzMzQ5Zjc4ZTc4N2JlMTk0MTc2M2RjZTgzOTNlYWQzODAwNDI0NCIsInZlcnNpb24iOjF9.yxXG0CNWW8__xJC14BjbTY9QkXD75x6uCIXR51oKDemkP0b_xGyd-A2wPIuwNJN1EYkQevPY0bhVpRWBKyO9Bg | |
| - type: f1 | |
| value: 0.4944671868893595 | |
| name: F1 Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzczNjQzY2FmMmY4NTAwYjNkYjJlN2I2NjI2Yjc0ZmQ3NjZiN2U5YWEwYjk4OTUyOTMzZTYyZjYzOTMzZGU2YiIsInZlcnNpb24iOjF9.mLOnst2ScPX7ZQwaUF12W2nv7-w9lX9-BxHl3-0T0gkSWnmtBSwYcL5faTX0_I5q33Fjz5tfkjpCJuxP5JYIBQ | |
| - type: loss | |
| value: 1.8788293600082397 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzRlOTYwYjU1Y2Y4ZGM0NDBjYTE2MmEzNWIwN2NiMWVkOWZlNzA2ZmQ3YjZjNzI4MjQwYWZhODIwMzU3ODAyZiIsInZlcnNpb24iOjF9._Xs9bl48MSavvp5eyamrP2iNlFWv35QZCrmWjJXLkUdIBx0ElCjEdxBb3dxPGnUxdpDzGMmOoKCPI44ZPXrtDw | |
| - task: | |
| type: natural-language-inference | |
| name: Natural Language Inference | |
| dataset: | |
| name: anli | |
| type: anli | |
| config: plain_text | |
| split: test_r1 | |
| metrics: | |
| - type: accuracy | |
| value: 0.712 | |
| name: Accuracy | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWYxMGY0ZWU0YTEyY2I3NmQwZmQ3YmFmNzQxNGU5OGNjN2ViN2I0ZjdkYWUzM2RmYzkzMDg3ZjVmNGYwNGZkZCIsInZlcnNpb24iOjF9.snWBusAeo1rrQqWk--vTxb-CBcFqM298YCtwTQGBZiFegKGSTSKzj-SM6HMNsmoQWmMuv7UfYPqYlnzEthOSAg | |
| - type: precision | |
| value: 0.7134839439315348 | |
| name: Precision Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjMxMjg1Y2QwNzMwM2ZkNGM3ZTJhOGJmY2FkNGI1ZTFhOGQ3ODViNTJmZTYwMWJkZDYyYWRjMzFmZDI1NTM5YSIsInZlcnNpb24iOjF9.ZJnY6zYOBn-YEtN7uKzQ-VKXPwlIO1zq19Yuo37vBJNSs1dGDd8f1jgfdZuA19e_wA3Nc5nQKe9VXRwPHPgwAQ | |
| - type: precision | |
| value: 0.712 | |
| name: Precision Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWM4YWQyODBlYTIwMWQxZDA1NmY1M2M2ODgwNDJiY2RhMDVhYTlkMDUzZTJkMThkYzRmNDg2YTdjMjczNGUwOCIsInZlcnNpb24iOjF9.SogsKHdbdlEs05IBYwXvlnaC_esg-DXAPc2KPRyHaVC5ItVHbxa63NpybSpao4baOoMlLG9aRe7TjG4gtB2dAQ | |
| - type: precision | |
| value: 0.7134676028447461 | |
| name: Precision Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODdjMzFkM2IwNWZiM2I4ZWViMmQ4NWM5MDY5ZWQxZjc1MGRmNjhmNzJhYWFmOWEwMjg3ZjhiZWM3YjlhOTIxNSIsInZlcnNpb24iOjF9._0JNIbiqLuDZrp_vrCljBe28xexZJPmigLyhkcO8AtH2VcNxWshwCpZuRF4bqvpMvnApJeuGMf3vXjCj0MC1Bw | |
| - type: recall | |
| value: 0.7119814425203647 | |
| name: Recall Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjU4MWEyMzkyYzg1ZTIxMTc0M2NhMTgzOGEyZmY5OTg3M2Q1ZmMwNmU3ZmU1ZjA1MDk0OGZkMzM5NDVlZjBlNSIsInZlcnNpb24iOjF9.sZ3GTcmGGthpTLL7_Zovq8aBmE3Dp_PZi5v8ZI9yG9N6B_GjWvBuPC8ENXK1NwmwiHLsSvtKTG5JmAum-su0Dg | |
| - type: recall | |
| value: 0.712 | |
| name: Recall Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDg3NGViZTlmMWM2ZDNhMzIzZGZkYWZhODQxNzg2MjNiNjQ0Zjg0NjQ1OWZkY2I5ODdiY2Y3Y2JjNzRmYjJkMiIsInZlcnNpb24iOjF9.bCZUzJamsozKWehnNph6E5coww5zZTrJdbWevWrSyfT0PyXc_wkZ-NKdyBAoqprBz3_8L3i5hPM6Qsy56b4BDA | |
| - type: recall | |
| value: 0.712 | |
| name: Recall Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDk1MDJiOGUzZThlZjJjMzY4NjMzODFiZjUzZmIwMjIxY2UwNzBiN2IxMWEwMGJjZTkxODA0YzUxZDE3ODRhOCIsInZlcnNpb24iOjF9.z0dqvB3aBVYt3xRIb_M4svWebfQc0QaDFVFzHnlA5QGEHkHOW3OecGhHE4EzBqTDI3DASWZTGMjrMDDt0uOMBw | |
| - type: f1 | |
| value: 0.7119226991285647 | |
| name: F1 Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2U0YjMwNzhmOTEyNDZhODU3MTU0YTM4MmQ0NzEzNWI1YjY0ZWQ3MWRiMTdiNTUzNWRkZThjMWE4M2NkZmI0MiIsInZlcnNpb24iOjF9.hhj1BXkuWi9wXrCjT9NwqaPETtOoYNiyqYsJEw-ufA8A4hVThKA6ZBtma1Q_M65-DZFfPEBDBNASLZ7EPSbmDw | |
| - type: f1 | |
| value: 0.712 | |
| name: F1 Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODk0Y2EyMzc5M2ZlNWFlNDg2Zjc1OTQxNGY3YjA5YjUxYTYzZjRlZmU4ODYxNjA3ZjkxNGUzYjBmNmMxMzY5YiIsInZlcnNpb24iOjF9.DvKk-3hNh2LhN2ug5e0FgUntL3Ozdfl06Kz7jvmB-deOJH6INi2a2ZySXoEePoo8t2nR6ENFYu9QjMA2ojnpCA | |
| - type: f1 | |
| value: 0.7119242267218338 | |
| name: F1 Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2MxOWFlMmI2NGRiMjkwN2Q5MWZhNDFlYzQxNWNmNzQ3OWYxZThmNDU2OWU1MTE5OGY2MWRlYWUyNDM3OTkzZCIsInZlcnNpb24iOjF9.QrTD1gE8_wRok9u59W-Mx0cX89K-h2Ad6qa8J5rmP8lc_rkG0ft2n5_GqH1CBZBJwMFYv91Pn6TuE3eGxJuUDA | |
| - type: loss | |
| value: 1.0105403661727905 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmUwMTg4NjM3ZTBiZTIyODcyNDNmNTE5ZDZhMzNkMDMyNjcwOGQ5NmY0NTlhMjgyNmIzZjRiNDFiNjA3M2RkZSIsInZlcnNpb24iOjF9.sjBDVJV-jnygwcppmByAXpoo-Wzz178bBzozJEuYEiJaHSbk_xEevfJS1PmLUuplYslKb1iyEctnjI-5bl-XDw | |
| - task: | |
| type: natural-language-inference | |
| name: Natural Language Inference | |
| dataset: | |
| name: multi_nli | |
| type: multi_nli | |
| config: default | |
| split: validation_mismatched | |
| metrics: | |
| - type: accuracy | |
| value: 0.902766476810415 | |
| name: Accuracy | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjExZWM3YzA3ZDNlNjEwMmViNWEwZTE3MjJjNjEyNDhjOTQxNGFmMzBjZTk0ODUwYTc2OGNiZjYyMTBmNWZjZSIsInZlcnNpb24iOjF9.zbFAGrv2flpmweqS7Poxib7qHFLdW8eUTzshdOm2B9H-KWpIZCWC-P4p8TLMdNJnUcZJZ03Okil4qjIMqqIRCA | |
| - type: precision | |
| value: 0.9023816542652491 | |
| name: Precision Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2U2MGViNmJjNWQxNzRjOTkxNDIxZjZjNmM5YzE4ZjU5NTE5NjFlNmEzZWRlOGYxN2E3NTAwMTEwYjNhNzE0YSIsInZlcnNpb24iOjF9.WJjDJf56FROvf7Y5ShWnnxMvK_ZpQ2PibAOtSFhSiYJ7bt4TGOzMwaZ5RSTf_mcfXgRfWbXmy1jCwNhDb-5EAw | |
| - type: precision | |
| value: 0.902766476810415 | |
| name: Precision Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzRhZTExOTc5NDczZjI1YmMzOGYyOTU2MDU1OGE5ZTczMDE0MmU0NzZhY2YzMDI1ZGQ3MGM5MmJiODFkNzUzZiIsInZlcnNpb24iOjF9.aRYcGEI1Y8-a0d8XOoXhBgsFyj9LWNwEjoIPc594y7kJn91wXIsXoR0-_0iy3uz41mWaTTlwJx7lI-kipFDvDQ | |
| - type: precision | |
| value: 0.9034597464719761 | |
| name: Precision Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQyMTZiZDA2OTUwZjRmNTFiMWRlZTNmOTliZmI2MWFmMjdjYzEyYTgwNzkyOTQzOTBmNTUyYjMwNTUxMTFkNiIsInZlcnNpb24iOjF9.hUtAMTl0THHUkaLcgk1Vy9IhjqJAXCJ_5STJ5A7k7s_SO9DHp3b6qusgwPmcGLYyPy1-j1dB2AIstxK4tHfmDA | |
| - type: recall | |
| value: 0.9024304801555488 | |
| name: Recall Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzAxZGJhNGI3ZDNlMjg2ZDIxNTgwMDY5MTFjM2ExZmIxMDBmZjUyNTliNWNkOGI0OTY3NTYyNWU3OWFlYTA3YiIsInZlcnNpb24iOjF9.1o_GNq8zmXa_50MUF_K63IDc2aUKNeUkNQ5fT592-SAo8WgiaP9Dh6bOEu2OqrpRQ57P4qm7OdJt7UKsrosMDA | |
| - type: recall | |
| value: 0.902766476810415 | |
| name: Recall Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjhiMWE4Yjk0ODFkZjlkYjRlMjU1OTJmMjA2Njg1N2M4MzQ0OWE3N2FlYjY4NDgxZThjMmExYWQ5OGNmYmI1NSIsInZlcnNpb24iOjF9.Gmm5lf_qpxjXWWrycDze7LHR-6WGQc62WZTmcoc5uxWd0tivEUqCAFzFdbEU1jVKxQBIyDX77CPuBm7mUA4sCg | |
| - type: recall | |
| value: 0.902766476810415 | |
| name: Recall Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2EzZWYwNjNkYWE1YTcyZGZjNTNhMmNlNzgzYjk5MGJjOWJmZmE5NmYwM2U2NTA5ZDY3ZjFiMmRmZmQwY2QwYiIsInZlcnNpb24iOjF9.yA68rslg3e9kUR3rFTNJJTAad6Usr4uFmJvE_a7G2IvSKqLxG_pqsHszsWfg5mFBQLjWEAyCtdQYMdVayuYMBA | |
| - type: f1 | |
| value: 0.9023086094638595 | |
| name: F1 Macro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzMyMzZhNjI5MWRmZWJhMjkzN2E0MjM4ZTM5YzZmNTk5YTZmYzU4NDRiYjczZGQ4MDdhNjJiMGU0MjE3NDEwNyIsInZlcnNpb24iOjF9.RCMqH_xUMN97Vos54pTFfAMbLstXUMdFTs-eNaypbDb_Fc-MW8NLmJ6dzJsp9sSvhXyYjugjRMUpMpnQseKXDA | |
| - type: f1 | |
| value: 0.902766476810415 | |
| name: F1 Micro | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTYxZTZhZGM0NThlNTAzNmYwMTA4NDNkN2FiNzhhN2RlYThlYjcxMjE5MjBkMzhiOGYxZGRmMjE0NGM2ZWQ5ZSIsInZlcnNpb24iOjF9.wRfllNw2Gibmi1keU7d_GjkyO0F9HESCgJlJ9PHGZQRRT414nnB-DyRvulHjCNnaNjXqMi0LJimC3iBrNawwAw | |
| - type: f1 | |
| value: 0.9030161011457231 | |
| name: F1 Weighted | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDA0YjAxMWU5MjI4MWEzNTNjMzJlNjM3ZDMxOTE0ZTZhYmZlNmUyNDViNTU2NmMyMmM3MjAxZWVjNWJmZjI4MCIsInZlcnNpb24iOjF9.vJ8aUjfTbFMc1BgNUVpoVDuYwQJYQjwZQxblkUdvSoGtkW_AzQJ_KJ8Njc7IBA3ADgj8iZHjRQNIZkFCf-xICw | |
| - type: loss | |
| value: 0.3283354640007019 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODdmYzYzNTUzZDNmOWIxM2E0ZmUyOWUzM2Y2NGRmZDNiYjg3ZTMzYTUyNzg3OWEzNzYyN2IyNmExOGRlMWUxYSIsInZlcnNpb24iOjF9.Qv0FzFZPkcBs9aHGf4TEREX4jdkc40NazdMlP2M_-w2wHwyjoAjvhk611RLXHcbicozNelZJLnsOMdEMnPLEDg | |
| - task: | |
| type: natural-language-inference | |
| name: Natural Language Inference | |
| dataset: | |
| name: anli | |
| type: anli | |
| config: plain_text | |
| split: dev_r1 | |
| metrics: | |
| - type: accuracy | |
| value: 0.737 | |
| name: Accuracy | |
| verified: true | |
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| value: 0.737681071614645 | |
| name: Precision Macro | |
| verified: true | |
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| - type: precision | |
| value: 0.737 | |
| name: Precision Micro | |
| verified: true | |
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| - type: precision | |
| value: 0.7376755842752241 | |
| name: Precision Weighted | |
| verified: true | |
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| - type: recall | |
| value: 0.7369675064285843 | |
| name: Recall Macro | |
| verified: true | |
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| - type: recall | |
| value: 0.737 | |
| name: Recall Micro | |
| verified: true | |
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| - type: recall | |
| value: 0.737 | |
| name: Recall Weighted | |
| verified: true | |
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| - type: f1 | |
| value: 0.7366853496239583 | |
| name: F1 Macro | |
| verified: true | |
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| - type: f1 | |
| value: 0.737 | |
| name: F1 Micro | |
| verified: true | |
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| name: F1 Weighted | |
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| - type: loss | |
| value: 0.9349392056465149 | |
| name: loss | |
| verified: true | |
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| # DeBERTa-v3-base-mnli-fever-anli | |
| ## Model description | |
| This model was trained on the MultiNLI, Fever-NLI and Adversarial-NLI (ANLI) datasets, which comprise 763 913 NLI hypothesis-premise pairs. This base model outperforms almost all large models on the [ANLI benchmark](https://github.com/facebookresearch/anli). | |
| The base model is [DeBERTa-v3-base from Microsoft](https://huggingface.co/microsoft/deberta-v3-base). The v3 variant of DeBERTa substantially outperforms previous versions of the model by including a different pre-training objective, see annex 11 of the original [DeBERTa paper](https://arxiv.org/pdf/2006.03654.pdf). | |
| For highest performance (but less speed), I recommend using https://huggingface.co/MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli. | |
| ### How to use the model | |
| #### Simple zero-shot classification pipeline | |
| ```python | |
| from transformers import pipeline | |
| classifier = pipeline("zero-shot-classification", model="MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli") | |
| sequence_to_classify = "Angela Merkel is a politician in Germany and leader of the CDU" | |
| candidate_labels = ["politics", "economy", "entertainment", "environment"] | |
| output = classifier(sequence_to_classify, candidate_labels, multi_label=False) | |
| print(output) | |
| ``` | |
| #### NLI use-case | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| import torch | |
| device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu") | |
| model_name = "MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForSequenceClassification.from_pretrained(model_name) | |
| premise = "I first thought that I liked the movie, but upon second thought it was actually disappointing." | |
| hypothesis = "The movie was good." | |
| input = tokenizer(premise, hypothesis, truncation=True, return_tensors="pt") | |
| output = model(input["input_ids"].to(device)) # device = "cuda:0" or "cpu" | |
| prediction = torch.softmax(output["logits"][0], -1).tolist() | |
| label_names = ["entailment", "neutral", "contradiction"] | |
| prediction = {name: round(float(pred) * 100, 1) for pred, name in zip(prediction, label_names)} | |
| print(prediction) | |
| ``` | |
| ### Training data | |
| DeBERTa-v3-base-mnli-fever-anli was trained on the MultiNLI, Fever-NLI and Adversarial-NLI (ANLI) datasets, which comprise 763 913 NLI hypothesis-premise pairs. | |
| ### Training procedure | |
| DeBERTa-v3-base-mnli-fever-anli was trained using the Hugging Face trainer with the following hyperparameters. | |
| ``` | |
| training_args = TrainingArguments( | |
| num_train_epochs=3, # total number of training epochs | |
| learning_rate=2e-05, | |
| per_device_train_batch_size=32, # batch size per device during training | |
| per_device_eval_batch_size=32, # batch size for evaluation | |
| warmup_ratio=0.1, # number of warmup steps for learning rate scheduler | |
| weight_decay=0.06, # strength of weight decay | |
| fp16=True # mixed precision training | |
| ) | |
| ``` | |
| ### Eval results | |
| The model was evaluated using the test sets for MultiNLI and ANLI and the dev set for Fever-NLI. The metric used is accuracy. | |
| mnli-m | mnli-mm | fever-nli | anli-all | anli-r3 | |
| ---------|----------|---------|----------|---------- | |
| 0.903 | 0.903 | 0.777 | 0.579 | 0.495 | |
| ## Limitations and bias | |
| Please consult the original DeBERTa paper and literature on different NLI datasets for potential biases. | |
| ## Citation | |
| If you use this model, please cite: Laurer, Moritz, Wouter van Atteveldt, Andreu Salleras Casas, and Kasper Welbers. 2022. ‘Less Annotating, More Classifying – Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT - NLI’. Preprint, June. Open Science Framework. https://osf.io/74b8k. | |
| ### Ideas for cooperation or questions? | |
| If you have questions or ideas for cooperation, contact me at m{dot}laurer{at}vu{dot}nl or [LinkedIn](https://www.linkedin.com/in/moritz-laurer/) | |
| ### Debugging and issues | |
| Note that DeBERTa-v3 was released on 06.12.21 and older versions of HF Transformers seem to have issues running the model (e.g. resulting in an issue with the tokenizer). Using Transformers>=4.13 might solve some issues. | |