autoevaluator
HF staff
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
deb7abd
| license: apache-2.0 | |
| tags: | |
| - summarization | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: mt5-small-finetuned-amazon-en-es | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: cnn_dailymail | |
| type: cnn_dailymail | |
| config: 3.0.0 | |
| split: test | |
| metrics: | |
| - type: rouge | |
| value: 5.5685 | |
| name: ROUGE-1 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjQ4YjcwMTZkNDA1MmQ0ZWY0NTE2NTUzZTI1MTkzM2YxODBkMzNiOWJmZmZmNDVmOGZmNWFjOGRjZTFlMzY3NyIsInZlcnNpb24iOjF9.L3yxDP4Q_E0Sxdx_nHP-OUkHGtNdVR2snnHAoW1njbMOEd-mtTpSEodAfwjhc4A55Ggc8FNi_Bekch_7nxPrAg | |
| - type: rouge | |
| value: 1.5241 | |
| name: ROUGE-2 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjY2YTc5ZDUwYTZhOWRiYzc3ZGFlMDIxZjI3ZmY1ZTJjMmVhMTFiNDk5MzBmM2I5MmE2YTZkMDU3ODUxOTIyZCIsInZlcnNpb24iOjF9.clixb6udwag8FRmr2sYHgHYgc20xHPTS9Y_dfVd9FdeWCUC73_VJGqJ2u0lK0OP1jkmjYf976k1PAe2VWotWBw | |
| - type: rouge | |
| value: 4.6568 | |
| name: ROUGE-L | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjRhYmMwZjQ2NjU2NWEwZmMzNTY0MmY4MzQ3NGQ5YjA4YWVlYTQ4YzQ3Y2Q2ZDNjNzkxNWU5ZjJhNzYwNjNjNyIsInZlcnNpb24iOjF9.KV8ySJDe2Wv4lgdx-dHYhcTCn6hPKpi88VMjqhZY06cJIB7KfCm66ufT_a1sww7V_XzOIZ5RLCs1SMpMO1n6CA | |
| - type: rouge | |
| value: 5.2235 | |
| name: ROUGE-LSUM | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDlmZmQ2ZjgxYzVkNzkyYmIxMmE2M2FhZDZkYzQ4NTcxMzIwMDY0MTFjZWVmYWU2MWU0NGRhNTVkZDMwNGQyMSIsInZlcnNpb24iOjF9.Fp_fOpucr_Lz3Rh81w2bQy4uGIPb8XQmKW9PUPUluutdBU_LRvhQ-gWfsRwDWfuxSrJ1zw_c4jgKz3dDSw9eAQ | |
| - type: loss | |
| value: 3.6021058559417725 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDM0MjUxNDdkMWE2ZTNlZDU0Mjg3NDI1ZDk5ODcxOTgwZjRlOTE0MzQxMjY2MGNlNDhhZWY4YzA2ZDg1Njk3ZiIsInZlcnNpb24iOjF9.e-We68CIcHa6YiAzoZH4QzJDO6UiXFZ_3vR1_1Du7gLK14N_OmPM_oDuy9bd2j5OnFIdPqucmIUlsVIk4vPQDg | |
| - type: gen_len | |
| value: 9.3862 | |
| name: gen_len | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjk1MTlhYWFkYjRhOGJkODQ4Mzk5MDY2ZjI4ODgwZDY2YWM1MTk4N2UwZTljOWU0ZmUyNjFiNTA4ZTQ3YmNmMiIsInZlcnNpb24iOjF9.0E0yYGq-0DtIgX0Zhnuj8TLHJBiK7WgBrwkoiFukpfUGTqaJtxk4wGECIIWhAuo4hfmz-F9Sk5_TUtDeKvHLCQ | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # mt5-small-finetuned-amazon-en-es | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.0294 | |
| - Rouge1: 16.6807 | |
| - Rouge2: 8.0004 | |
| - Rougel: 16.2251 | |
| - Rougelsum: 16.1743 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5.6e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 8 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| | |
| | 6.5928 | 1.0 | 1209 | 3.3005 | 14.7863 | 6.5038 | 14.3031 | 14.2522 | | |
| | 3.9024 | 2.0 | 2418 | 3.1399 | 16.9257 | 8.6583 | 16.15 | 16.1299 | | |
| | 3.5806 | 3.0 | 3627 | 3.0869 | 18.2734 | 9.1667 | 17.7441 | 17.5782 | | |
| | 3.4201 | 4.0 | 4836 | 3.0590 | 17.763 | 8.9447 | 17.1833 | 17.1661 | | |
| | 3.3202 | 5.0 | 6045 | 3.0598 | 17.7754 | 8.5695 | 17.4139 | 17.2653 | | |
| | 3.2436 | 6.0 | 7254 | 3.0409 | 16.8423 | 8.1593 | 16.5392 | 16.4297 | | |
| | 3.2079 | 7.0 | 8463 | 3.0332 | 16.8991 | 8.1574 | 16.4229 | 16.3515 | | |
| | 3.1801 | 8.0 | 9672 | 3.0294 | 16.6807 | 8.0004 | 16.2251 | 16.1743 | | |
| ### Framework versions | |
| - Transformers 4.22.1 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.5.1 | |
| - Tokenizers 0.12.1 | |