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autoevaluator
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
ffb3d20
tags: | |
- summarization | |
- generated_from_trainer | |
datasets: | |
- samsum | |
metrics: | |
- rouge | |
model-index: | |
- name: ssr-base-finetuned-samsum-en | |
results: | |
- task: | |
type: text2text-generation | |
name: Sequence-to-sequence Language Modeling | |
dataset: | |
name: samsum | |
type: samsum | |
args: samsum | |
metrics: | |
- type: rouge | |
value: 46.7505 | |
name: Rouge1 | |
- task: | |
type: summarization | |
name: Summarization | |
dataset: | |
name: samsum | |
type: samsum | |
config: samsum | |
split: test | |
metrics: | |
- type: rouge | |
value: 46.2529 | |
name: ROUGE-1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGJmOWYwMDk4MWI1YWY2MjdkNTYyZThmNDU4Y2JiMTIzNWQyZjViNDk2NWUyNzZkMWQxM2E2NWY1MjI3M2YxNSIsInZlcnNpb24iOjF9.yTvrays_YII7mGi0KedYNgJb771vRVtjmcH0kygTU5_RH4_A_nZArpjJ6b5InwlTeW9YMn_MNkC9KFfUBPecCA | |
- type: rouge | |
value: 21.3374 | |
name: ROUGE-2 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2U0ZTBlNWJiYWQyZjA2ZDJjZTMzMDlkZTVkYTBkOGJmMDJmZTRjODFhMWRmMzAzYTI0ZGZlMjMxZTI1MWRjOSIsInZlcnNpb24iOjF9.cFQNgQwfCH6CYgamikt_qz2JB0PMu2f3TEHvE6yQHWf4DDAtDfb7bR0kHRIHLOBSVuEUEo52B4YCSIAkapJ3Bw | |
- type: rouge | |
value: 36.1939 | |
name: ROUGE-L | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGE1NDBhOTFjOTNlMzhhN2U3NWE4OWNkOWQ1MWY0MmYwYmYzNzViZDE4YjdhMTg0ZTlkNmQ1N2U2YzA1ZmU2YSIsInZlcnNpb24iOjF9.WYJiCb8wQkLsIxnfd_4uQUvs2qOhPm9zntOz9nCNf0jNxs0qzcr9gClr60WYinR3MYk9JQNg6yz1MvD_X9STBA | |
- type: rouge | |
value: 42.2937 | |
name: ROUGE-LSUM | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjNiNGFhMmUxYzQ2ZDM3MjllMWRiNDhmMDllMWMwNGMxNjJmMzdhZjdhOTIyNmZhYjdiYjU3ZTM5NmYyNmVmYiIsInZlcnNpb24iOjF9.8Mm175eGDOzfDPskAMySSNmuLGss-ZS-lPwQrMlwP_tTF29zIrZFIUeyRbXb8SjAL_RfeDNm2hwXG7tnGjLQDg | |
- type: loss | |
value: 2.0463898181915283 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzhiZmNiYmRkMzRhMjFkMDgzNmRiYWU5YWI2N2QzZDMyNTBjZWQ3YWM5Y2IxYWE5ZmJhNzIxZGE5MDRjODFjOCIsInZlcnNpb24iOjF9.CUGc-6fdSzNEHeFuyvsW9KXwkg1ca64JfCuIJlrZJ8KDWbrZF0g8FvI4Vr2YG1uoz65678MkJJnzbYlHFrPxBg | |
- type: gen_len | |
value: 31.3724 | |
name: gen_len | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzIwZjUwNTExNzk2ZmMzOTE1M2EwMDAyMjg5M2Y1OWY4NzVhOWY1ZDczNzA4NTlhNWY2NDZiOGE1NDNkNmU3NCIsInZlcnNpb24iOjF9.QRkcqUN_Zn3XPbjVs0qdC0LVnTLdzzX1VqQN6g0bE-BPLzk2sP5IsSLagpVqKdA7FLXiFFbdQKRc_hFLPwNvCg | |
<!-- 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. --> | |
# ssr-base-finetuned-samsum-en | |
This model is a fine-tuned version of [microsoft/ssr-base](https://huggingface.co/microsoft/ssr-base) on the samsum dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.6231 | |
- Rouge1: 46.7505 | |
- Rouge2: 22.3968 | |
- Rougel: 37.1784 | |
- Rougelsum: 42.891 | |
## 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: 10 | |
- eval_batch_size: 10 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 10 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | |
| 1.9682 | 1.0 | 300 | 1.6432 | 44.2182 | 20.8486 | 35.0914 | 40.9852 | | |
| 1.6475 | 2.0 | 600 | 1.5946 | 45.3919 | 21.6955 | 36.2411 | 41.8532 | | |
| 1.5121 | 3.0 | 900 | 1.5737 | 46.1769 | 22.4178 | 36.9762 | 42.6614 | | |
| 1.4112 | 4.0 | 1200 | 1.5774 | 46.6047 | 22.8227 | 37.2457 | 43.1935 | | |
| 1.323 | 5.0 | 1500 | 1.5825 | 46.6162 | 22.485 | 37.2846 | 42.9834 | | |
| 1.2613 | 6.0 | 1800 | 1.5883 | 46.4253 | 22.1199 | 37.0491 | 42.5189 | | |
| 1.2077 | 7.0 | 2100 | 1.5965 | 46.485 | 22.3636 | 37.2677 | 42.7499 | | |
| 1.1697 | 8.0 | 2400 | 1.6174 | 46.8654 | 22.6291 | 37.4201 | 43.0875 | | |
| 1.1367 | 9.0 | 2700 | 1.6188 | 46.707 | 22.305 | 37.156 | 42.9087 | | |
| 1.118 | 10.0 | 3000 | 1.6231 | 46.7505 | 22.3968 | 37.1784 | 42.891 | | |
### Framework versions | |
- Transformers 4.19.2 | |
- Pytorch 1.11.0+cu113 | |
- Datasets 2.2.2 | |
- Tokenizers 0.12.1 | |