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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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- text-classification |
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- emotion |
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- pytorch |
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datasets: |
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- emotion |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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base_model: distilbert-base-cased |
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model-index: |
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- name: distilbert-base-cased-emotion |
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results: |
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- task: |
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type: text-classification |
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name: text-classification |
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dataset: |
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name: emotion |
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type: emotion |
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config: default |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 0.9235 |
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name: accuracy |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTI0NGY1MTgwMzViYzY2NzdmOTk2NGM0YjRjMDExYjRkNDY3YmQzZmY4Y2JlMGQ3ZThlNjNjMjQ1OTI4MjdlOSIsInZlcnNpb24iOjF9.jJ8RC2HTtWrq3_b592HIFBlKuGavgSMrp--gwLFLZ66Uuz44gnouotoYpsqMtgUt-S3lkcCUs2ZFOPo6xR2EAA |
|
- type: accuracy |
|
value: 0.938 |
|
name: Accuracy |
|
verified: true |
|
- type: precision |
|
value: 0.9281100797474869 |
|
name: Precision Macro |
|
verified: true |
|
- type: precision |
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value: 0.938 |
|
name: Precision Micro |
|
verified: true |
|
- type: precision |
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value: 0.9376891512759605 |
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name: Precision Weighted |
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verified: true |
|
- type: recall |
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value: 0.9029821552608664 |
|
name: Recall Macro |
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verified: true |
|
- type: recall |
|
value: 0.938 |
|
name: Recall Micro |
|
verified: true |
|
- type: recall |
|
value: 0.938 |
|
name: Recall Weighted |
|
verified: true |
|
- type: f1 |
|
value: 0.9147207975135915 |
|
name: F1 Macro |
|
verified: true |
|
- type: f1 |
|
value: 0.938 |
|
name: F1 Micro |
|
verified: true |
|
- type: f1 |
|
value: 0.9373403463117288 |
|
name: F1 Weighted |
|
verified: true |
|
- type: loss |
|
value: 0.23682540655136108 |
|
name: loss |
|
verified: true |
|
- type: accuracy |
|
value: 0.938 |
|
name: Accuracy |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTUwM2MxN2Q0MGY2MjM5N2IyNjM1Y2Q5ZTM3YzRjYzU1NWQ3MGM1M2E2OWY5YTYyOGVjNTRmODc2ZDkxYzRlMyIsInZlcnNpb24iOjF9.vUgzbI8tmXYBL4OmW3y9GJx_J_j_o6hs1fmxgc-SgaF7B6Qr0qxVwTahvxKnJjad8KnA-aEfQWRYhwVpAr44Dw |
|
- type: precision |
|
value: 0.9281100797474869 |
|
name: Precision Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjQ1Mzg5NmI2MjU0MjA1N2EzNmQ1MGVhYjgyYTg5YmVjMGY5ZDhkMmJmNmVhZDI0ZDNmZDJhZjg0NDUzNzEzMiIsInZlcnNpb24iOjF9.kK_Lg1Vy1dXCSzEik-0vfP15icUf1RNYNs_dcXc46PAXU1TWF1t4CKUXmu6FFyRyAWKMp90dH_Ss7VIMj1-OAw |
|
- type: precision |
|
value: 0.938 |
|
name: Precision Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTdiNWE1ZmFmYmE3NDc0YmUyYjRiNGZmMDk5NTg5YWUyOTQyYmNkOWM3M2Y4ZjI4ZWU3Mzk2NTU1YjQxM2QzMiIsInZlcnNpb24iOjF9.9UVnzkkjthoZML84FS8cWbr88JPgG2RQtC7k_I4a3rCC0T6LMsJSoMWCOIz6a6tnpO26q-_x-wM70GzzSanmCg |
|
- type: precision |
|
value: 0.9376891512759605 |
|
name: Precision Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTU2ZDVjYjk5YTMwYWY2YmZjNDdkMTFkMWI5NjI3YjQ3Njk2NWQ0OGM2ZjYyZWRhZjE2YzM5YjA3NjU1YmFlNiIsInZlcnNpb24iOjF9.fixCk6zcIOYsk3LgfCHeSQ5YNoJ-ZWxvvW76g1-s2yjrI5Qmf_VQcNlyDr_pmHtZ7mc3yykCPaD6k2oMKZ5QBw |
|
- type: recall |
|
value: 0.9029821552608664 |
|
name: Recall Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjA0NTc4MGExMmExNWZjNjc1MDA3MDI4MmMwMTNjYWQ0YmVkZjExNzdkZTJkNmMwZWIyNjA4MTNlMDRmODkwNiIsInZlcnNpb24iOjF9.rAq4wFgCo6Q3mxElGdnbXlzVyUvSYOFW-m1KHzDFTydt-4Re-SUVjeh2y8HFf5H0Te5Jj5SiXfszJUmwFXh1Ag |
|
- type: recall |
|
value: 0.938 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDk4NTE4YjZmZDdlNmI1NDkxYmU4ZjAzODhiNGFhYTAxNGEyNjY2MGE3MWQwNGFkMDhkZjNkYjkzNWQxZDQ1YiIsInZlcnNpb24iOjF9.l2JP6XY0XWRFB6G5A82CQy9-Isn48vAGickkwvhMhcW7cZsPjDTLHg2wyBjD8etcYzU99RdfR9nusSnWxBvxAQ |
|
- type: recall |
|
value: 0.938 |
|
name: Recall Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTEwNGQ0NDc0NWE2OGUzMjkwMWM2MGRhODViNmIwMDU1NDk3OTdlOWI1N2VlN2JmY2MzYWI4YjJhNDFhYWVhNCIsInZlcnNpb24iOjF9.IV35Ctc1lhxXGP5J3PQxWi6IpWH1ZyZ95yrrca6-EzlF0w3AYL1Bk8q_glolpmrBqUBrJH8AJ07MFN3g77UzCA |
|
- type: f1 |
|
value: 0.9147207975135915 |
|
name: F1 Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDFlNDk2OWUxOWQ5MTY1MTg3MDU2MzA5OGVmYTk2ODgyNDRiNWU5ZDZmYWYzYmMyMTcyZGExMWE1MGQ2Mzk2MyIsInZlcnNpb24iOjF9.GdxhM7wmt4DQucMB21z0ZZx-iOSlf7wYIs01U6dERhXHX4gsDaFIuIFCVNPFZpwerUYUz6Xtsl6jK1v9kkjqBA |
|
- type: f1 |
|
value: 0.938 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTFlM2JlYWFhZjQzNGVjNjhhMTQ3MWZlNGFlMDI5YjEyYWQzMmY3MzQ4MmEzYzg0ZjIyZTZlODNmMTRlZWI5OSIsInZlcnNpb24iOjF9.EKJExY6JPzTwnnPzBPTCoDTowYYly6jKw4Qypsj3GKEpzwmqG-hoo5yhyZaoWsRL2hb1W6eHbsZtPdy1HqGLDQ |
|
- type: f1 |
|
value: 0.9373403463117288 |
|
name: F1 Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzU1MjI3NTc4N2MxYTI5MjI1OTc3YjFhYjdkZDZmY2MxOTkyYzMzMWIxY2JmNGRkNDg2MTk0YTRiOWJhMTBhNCIsInZlcnNpb24iOjF9.bqFLqztywdiWTm-r7oeQ_R3_VKOTBkyxbL_sZktEE3hsJHYhwLOEVeKD7sqt56gQu_JNYMCz6WGWKRECFKH3Cw |
|
- type: loss |
|
value: 0.23682540655136108 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWZlZjkwNmJjYjAzYzk4ZjU4NzNiYzg1NTU1MGQ3OTFjYmE4MjE5NzNkYzZiZDI0ZmNkM2Y2NGU4ZjJlOThlOSIsInZlcnNpb24iOjF9.mYcz4sdJOmXXMBGW01OSJiKCouKh28AuExj1E7JiPCz-9ri3oRXPkT2fBHgrf0I2ifVEGVSFYckoC8Ymg-cMAw |
|
- task: |
|
type: text-classification |
|
name: Text Classification |
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dataset: |
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name: emotion |
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type: emotion |
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config: default |
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split: test |
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metrics: |
|
- type: accuracy |
|
value: 0.9235 |
|
name: Accuracy |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDdiOWE5ZjI4NmVjN2Y0OWFmNGI2NWU4MTYwMTA5MTFmMjEzOTkyODhhOTEzMzg0OTJmOTM2NGM3YzMxMDAyNCIsInZlcnNpb24iOjF9.SzWJe5bMitRlUb4d0gIX49k_mTC1ADWKDOLdS6TMx3ZGmkMdD6F9-IlmmTunbfVEDQSjweVpv7H7TUcHsBeIBQ |
|
- type: precision |
|
value: 0.89608475565062 |
|
name: Precision Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjZlMjk2ZTZkNzJiZTgwNDczNzRjMDkzYTcwNmM2YjdjODE1NzI2NTFmNjRkYTBjMDg2NzMzNmE0MGY1NWRiYyIsInZlcnNpb24iOjF9.qlIfR61-QTw9M71mMGOjN2UPs3Pjz-DVtq094BFtVkFQVllN5vPZLkkqVTkQlX1WdnY70JHpYv-qM_Kpv1h3Cw |
|
- type: precision |
|
value: 0.9235 |
|
name: Precision Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjUwMDIwMGEwMmE2NmEzMjQxMjM5MWI5MDRlYjhmODE1NjliMjkwMTU5YTg3ZWJiMjI2MGQxMWU4MmJiYTljNiIsInZlcnNpb24iOjF9.rFJQ1Q6aPlncwReXR2jciz3UEIArJS_nTwHAuTNXZKKQSvTM1zBN7x7EdSDeEIf8JDFfEimvv282wgnCPVmkAw |
|
- type: precision |
|
value: 0.9224273416855945 |
|
name: Precision Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDNmYWE4MTQxY2FkNTcxMzMyMmQyNmViN2FhMGQxOWYzNGU0MmIyMjhiZmE5ZmYyOWQwMzExZWRiMjRkNzliMyIsInZlcnNpb24iOjF9.6kD-hmPbjJrpAHZY-tFULnufxw118PfMCwj8PBjDKTtSQ_MCTP7iU3KtNe5essy5vDpdBFuA9E9SbrtjW3vnBA |
|
- type: recall |
|
value: 0.8581097243584549 |
|
name: Recall Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjZjMGJlZmI2NGVmYWIxZjdlYzg1ZjAyNmYwOWQ0NGE2OWI5OGIzMzE5Zjg5Yzg2NTlhZjRkMzE0ZTZjOGUyMCIsInZlcnNpb24iOjF9._r5lQK7hSPCyM9Bz9H5AVactjXzpF3hKW-iB5dco_kmVMhdy_-N00aFQg8XMKa4sL9lmJs0svINUwL5q55vmCw |
|
- type: recall |
|
value: 0.9235 |
|
name: Recall Micro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTQyMmZiNDQ1ZDMyZGY5ZWVlOGM0OWMzODhiNWI1NGUzNDJmOWEyM2VjYjhkNGQ4Y2ZmYzMwYjc1NTU4YjY0ZCIsInZlcnNpb24iOjF9.N7SJCOKlRa_3sRFYqiuPZpXmikQ9xuA4uDsKldGVNG6Tg6dffT2fLE9kkTCOQmG3BQzoP-xxjbhjG1gDPe_KCw |
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- type: recall |
|
value: 0.9235 |
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name: Recall Weighted |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGZkZmU4OTRhNDc3MzdiMDQwYzg4NmI5MTNlOWNjODk1ZGNmODZmZjk2MmY2NmU1Y2QyNGExNTkyNDUyZWJhYyIsInZlcnNpb24iOjF9.SvIJpc0dCvtMeaRZ0yQinV3FKftMiHLbhvalrVDT0uLnQ-wGL3HOkj9i9lO53kLrunxbswPjhKmR4bY1P6LUCQ |
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- type: f1 |
|
value: 0.8746813002250796 |
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name: F1 Macro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDcxMTE4YzIyOWM5YmU0YTI4NzliMjM5YzBkYTJjODY3NjdkOWMwNmJhOTJiY2Y3MDM4NDNkYjljOGMxN2I2YyIsInZlcnNpb24iOjF9.41XMqnkXPjeoKiUmOuMhitX-624vXLmz6QMeNsOx_yFDhkugYP5ox5xq9PhC3cQIxn0SD71AusaN7YOnfKOaDA |
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- type: f1 |
|
value: 0.9235 |
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name: F1 Micro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjE0MDU4YjY4MzlkMjQyZmI3ODUwODUyYzIyMDFhNjIyZjcwZjNkZTI0NmFiYTA4YWJlMzdmNDMxZGY0MTVhZCIsInZlcnNpb24iOjF9.a1Nh5T-g74Ol-ElZhu2O7yg4tJrBRGCJYeVYUsZd7AkXPR_e0jyOwVx16J2t7gOVTp512HEK5u2wIpns8qWrAA |
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- type: f1 |
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value: 0.9217456925724525 |
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name: F1 Weighted |
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verified: true |
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- type: loss |
|
value: 0.32714536786079407 |
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name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDdhOTRiNjI5Y2FmYmQ0MGNmNjM5NWQzN2Y0ZWJhNmYyZDgwYzRhOWE0YmNiMjIyNjYyMWE2NTczMTA3NDM1YiIsInZlcnNpb24iOjF9.tmWAsH0fU7QUztbh3PfbBL1aSigZge0iQgYQIHsULZMCD9M98l8DXeLpZl-dehWruVY9Lkr4PJKTn9ba35vKCg |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# distilbert-base-cased-emotion |
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|
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**Training:** The model has been trained using the script provided in the following repository https://github.com/MorenoLaQuatra/transformers-tasks-templates |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on [emotion](https://huggingface.co/datasets/emotion) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3272 |
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- Accuracy: 0.9235 |
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- F1: 0.9217 |
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- Precision: 0.9224 |
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- Recall: 0.9235 |
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|
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## Model description |
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|
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More information needed |
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## Intended uses & limitations |
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More information needed |
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|
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## Training and evaluation data |
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|
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More information needed |
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|
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## Training procedure |
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|
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### Training hyperparameters |
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|
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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|
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### Training results |
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|
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.2776 | 1.0 | 500 | 0.2954 | 0.9 | 0.8957 | 0.9031 | 0.9 | |
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| 0.1887 | 2.0 | 1000 | 0.1716 | 0.934 | 0.9344 | 0.9370 | 0.934 | |
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| 0.119 | 3.0 | 1500 | 0.1614 | 0.9345 | 0.9342 | 0.9377 | 0.9345 | |
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| 0.1001 | 4.0 | 2000 | 0.2018 | 0.936 | 0.9353 | 0.9359 | 0.936 | |
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| 0.0704 | 5.0 | 2500 | 0.1925 | 0.935 | 0.9349 | 0.9354 | 0.935 | |
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| 0.0471 | 6.0 | 3000 | 0.2369 | 0.938 | 0.9373 | 0.9377 | 0.938 | |
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| 0.0322 | 7.0 | 3500 | 0.2693 | 0.938 | 0.9382 | 0.9392 | 0.938 | |
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| 0.0137 | 8.0 | 4000 | 0.2926 | 0.937 | 0.9371 | 0.9372 | 0.937 | |
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| 0.0099 | 9.0 | 4500 | 0.2964 | 0.9365 | 0.9362 | 0.9362 | 0.9365 | |
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| 0.0114 | 10.0 | 5000 | 0.3044 | 0.935 | 0.9349 | 0.9350 | 0.935 | |
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### Framework versions |
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|
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- Transformers 4.22.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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