autoevaluator
HF Staff
Add evaluation results on the default config and train split of medical_questions_pairs
3111a9b
| language: | |
| - it | |
| tags: | |
| - summarization | |
| datasets: | |
| - ARTeLab/ilpost | |
| metrics: | |
| - rouge | |
| base_model: gsarti/it5-base | |
| model-index: | |
| - name: summarization_ilpost | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: medical_questions_pairs | |
| type: medical_questions_pairs | |
| config: default | |
| split: train | |
| metrics: | |
| - type: rouge | |
| value: 12.5087 | |
| name: ROUGE-1 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTk1NzM4NjEyYjlkOWQ3Yzk0NjNiNDYzZjIwNDZkYWFlYzJlNTA4ZThiNjEzYWQzZWVjYzVmNTYyNjlhMjgzOCIsInZlcnNpb24iOjF9.v6mtEtzUqnUfSBwZu-vXDJmuVGvj4IvSgUFjdWy1RX9ShaC0TtNZJ20W4zjrEZ26Xmk7uqC51hK5ya6kx11WDQ | |
| - type: rouge | |
| value: 3.6796 | |
| name: ROUGE-2 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQ4YWRmZGVjZTk5YTdjYzZhNzNkZDBmOTRmMzVmODY4OGU4MjI5OTdmZGQ3MTRjNDBmYTBkMTE0MzQ4ZDQ5YSIsInZlcnNpb24iOjF9.Ux7-ReB2i0MLurwxzzOmIi6dGUCUeZNYXgnGX4f8MTVJBMeMFMRFsG3Im1j0-DnpIxuvXETc8J6eZ5PR_5nIAg | |
| - type: rouge | |
| value: 11.0954 | |
| name: ROUGE-L | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjRkZTYyYjRhNTNlMThkZjI3ZmE3MmNlOTFiMmQ0MGRhMTE3ZWM5ODk1OWRkZThiYTFiNDg5MjE2ODVhM2QyNyIsInZlcnNpb24iOjF9.yucLivteb6CxBBMZ1gydBhiWPBzwL2Ga9OS37z0o0tuPSWHjbsZtoVTzrHuJcjH-kwnR_QNA1AWokSf9grs4BQ | |
| - type: rouge | |
| value: 11.5897 | |
| name: ROUGE-LSUM | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDI4ZmYxOWQzOTcyNGIyMWM2NGU4MzM0ZWI1MjRkN2ExNzFmNDFlNzI4ZTI4M2NkYzY5MmQ4MDgxZjhjMDExMyIsInZlcnNpb24iOjF9.riA7X5EfOrBirLWMyOYS5UWReNAm1sjrAPihNuW4lx0IzKdafZ3bUJrH1QNojae5p_XP8AyU8yygZ7TQgN2gBw | |
| - type: loss | |
| value: 3.0159499645233154 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzhmYzJlMWYwYTM2OGFlNjQ2YjkxYWI1YzNkOTRjMjI0NGQ2ZTNhYjUzN2RhMDQxMjI1NWUyYjgwNTYzN2RkNiIsInZlcnNpb24iOjF9.I_CHEnSn61amBXNSOqBXSkGL09fvRv700bHyC41vNowaBUNtO5vOabRfhYi0IuPmsEI8eh_IEVrwNpbTgdtlAg | |
| - type: gen_len | |
| value: 18.9961 | |
| name: gen_len | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWU5NDBkZDMyNWJjN2NkYWEyNGZjOGY5MDQyOTVmN2I5MTVhMTk0N2I5YjIxZjI4YmY0MmRmZmU3YWIzMGRiYSIsInZlcnNpb24iOjF9.GC80tSpC8-wSuuzGc8wG9iDeSZ6CU1gdczoLiYEFdz-JfCrZa82UGr0EHXTzbaPKjb2Di1MyeH77hygu5BJpCQ | |
| # summarization_ilpost | |
| This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on IlPost dataset for Abstractive Summarization. | |
| It achieves the following results: | |
| - Loss: 1.6020 | |
| - Rouge1: 33.7802 | |
| - Rouge2: 16.2953 | |
| - Rougel: 27.4797 | |
| - Rougelsum: 30.2273 | |
| - Gen Len: 45.3175 | |
| ## Usage | |
| ```python | |
| from transformers import T5Tokenizer, T5ForConditionalGeneration | |
| tokenizer = T5Tokenizer.from_pretrained("ARTeLab/it5-summarization-ilpost") | |
| model = T5ForConditionalGeneration.from_pretrained("ARTeLab/it5-summarization-ilpost") | |
| ``` | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5e-05 | |
| - train_batch_size: 6 | |
| - eval_batch_size: 6 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4.0 | |
| ### Framework versions | |
| - Transformers 4.12.0.dev0 | |
| - Pytorch 1.9.1+cu102 | |
| - Datasets 1.12.1 | |
| - Tokenizers 0.10.3 |