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--- |
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license: apache-2.0 |
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tags: |
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- summarization |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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base_model: facebook/bart-base |
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model-index: |
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- name: bart-base-finetuned-samsum-en |
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results: |
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- task: |
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type: text2text-generation |
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name: Sequence-to-sequence Language Modeling |
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dataset: |
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name: samsum |
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type: samsum |
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args: samsum |
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metrics: |
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- type: rouge |
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value: 46.8825 |
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name: Rouge1 |
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- task: |
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type: summarization |
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name: Summarization |
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dataset: |
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name: samsum |
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type: samsum |
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config: samsum |
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split: test |
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metrics: |
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- type: rouge |
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value: 45.0692 |
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name: ROUGE-1 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmJmZGIzMjdlODZhOThjMTFhYzM3NWJjOTNjMjkyN2U4NmE2YjViZmM0ZTBkNTU0NTc0YmZlMGY4NDI1NmM0YyIsInZlcnNpb24iOjF9.4p6xyMhFMia_Ms0bohyUchjrHhYvz7tH_O9LdeEK5FYF6pWEWs3Aw3i6LCc2HPnsge2ZKG-pzsRdbMJwO5w4Bg |
|
- type: rouge |
|
value: 20.9049 |
|
name: ROUGE-2 |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTY3OTVmM2E5ZmRjYzYzZmE3MGQwODNmMTk0MGJjMTRkMDQ2NGEwNGY0ZTA3OWJjODIzOWVkYTgwZjRjNzhkYiIsInZlcnNpb24iOjF9.YKFCR8fT38vuj9TA9wZHUNX6hmV0_m4yErKuuVvEBtWSwOmrzIrdSHVk40wSQomojTFFA9HRAZ_Ssf0rke_SAw |
|
- type: rouge |
|
value: 37.3128 |
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name: ROUGE-L |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDZhN2I5NDdjNTEwYzg2YTZlMWJkZDFmYmE0NDkzYmI4Mjg2YjVkYTQwMmEyMTEzZmI4YzBmMDg3OWY5MDQ0MiIsInZlcnNpb24iOjF9.RFrkndxIOt61Vs59zCdI09IXh349inPilhD-bXvpqfUKa92PTUNBqsumL8lzS4N7uEcfca1QYG4STEy_Efc9Dw |
|
- type: rouge |
|
value: 40.662 |
|
name: ROUGE-LSUM |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGIxMjlkZjY3ZDNiOGQwM2FlNTExYjI5OGIwOGUxYTU4ZGFiNGRjOTU5MTFjMDQ2YWU2MzU3M2E0NTQ3Yjk4MiIsInZlcnNpb24iOjF9.AEJgh8jnUs0nyIsUj6mNxyqIzfFRVwqEowIMnK-xnSRbuMkCMEREeao4FSK2a0Cx5rNkXuEW4fBIRDrhyDKIBA |
|
- type: loss |
|
value: 5.763935565948486 |
|
name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzc2Yzc5YjRjOGFjZmIwYTFiYzNiN2VmNzJiNjdlZmRhNjZlNzU4ZDc1OWE2MTk1MjQ5MGM0NDNmMDY3NTZmYiIsInZlcnNpb24iOjF9.r-Z0kcXf81IlDxT0yYoLjya7Uc3q6sJT0LxzhIdKVYc3mOoxPLMX1_vLQPX8fsIHIqPHPtKczfZ_z6mB0yptBg |
|
- type: gen_len |
|
value: 18.4921 |
|
name: gen_len |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2NkYTg0MGFiYmJiZWI1ZjYzMGEzOGM1MGM2NjgyNzE2MTk2ZTc3MTQ2Mzg4Y2U5NTM3MDBiNTQ5YzUwNzAzYyIsInZlcnNpb24iOjF9.fn2kkheKjJJio6pcI0X0OWMEE08CuO35VrebfTNqTGJDV3U5O2f6Vf6RMo0d5b4N5X-E5-Ju-7k2CDxNi8CAAw |
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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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# bart-base-finetuned-samsum-en |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3676 |
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- Rouge1: 46.8825 |
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- Rouge2: 22.0923 |
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- Rougel: 39.7249 |
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- Rougelsum: 42.9187 |
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## Model description |
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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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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 0.5172 | 1.0 | 300 | 2.1613 | 47.4152 | 22.8106 | 39.93 | 43.3639 | |
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| 0.3627 | 2.0 | 600 | 2.2771 | 47.2676 | 22.6325 | 40.1345 | 43.19 | |
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| 0.2466 | 3.0 | 900 | 2.3676 | 46.8825 | 22.0923 | 39.7249 | 42.9187 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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