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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- summarize_from_feedback
metrics:
- rouge
pipeline_tag: summarization
model-index:
- name: flan-t5-large-finetuned-openai-summarize_from_feedback
results:
- task:
type: text2text-generation
name: Sequence-to-sequence Language Modeling
dataset:
name: summarize_from_feedback
type: summarize_from_feedback
config: comparisons
split: train
args: comparisons
metrics:
- type: rouge
value: 30.2401
name: Rouge1
- type: rouge
value: 11.4916
name: Rouge2
- type: rouge
value: 24.6485
name: RougeL
- type: rouge
value: 26.1801
name: RougeLSum
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: test
metrics:
- type: rouge
value: 23.0407
name: ROUGE-1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmViMTI3Mzg3ZDlkMDJlMjBiODU1NTIyNmVmOWFjMzIzZDVkNTc4NWI0MGIzYTJmYmUyMDM4ZTk2Y2Q5YzVjNSIsInZlcnNpb24iOjF9.oyqMHGGnGCE1f3JUNBg9c2ThycvlecuoZVWcGXvOcm0SbenpBobLEnczlFb4qx3ySwDUsL7uVtFW7F46Lz_CAg
- type: rouge
value: 8.5384
name: ROUGE-2
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWZmOGYzODgyN2VjNjlmMWZiYzY3ZDIwNjAyZGExNDc3ZmZmMzIwMzk2NGVlNTZiMWIwZDUxM2IwNWU4OWQ5ZSIsInZlcnNpb24iOjF9.dCSVXAMFQQASe6fpPEOJu3Cfsd6Adm1L53xF0Job6W2Qd78M91wfl0715sUiFpsEKWKN9Z9bnhGA7d-SScVSAA
- type: rouge
value: 17.6719
name: ROUGE-L
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjkwOTA5YzNmYTc2YmRhNTFmYzc4MmE1ZjI5YmE1NDJiNjliNWRmNWU3MTg3MDgxY2RjZTZkMGZkZDY0MTIzNyIsInZlcnNpb24iOjF9.8-0VXD5ZGKIAGhjvuiBAchDZxyVWKczwiBxWDIQEItT3egSjYefGN8eOo9Z7R7sToX_li7IPeajVl3PbrQgPCg
- type: rouge
value: 20.9526
name: ROUGE-LSUM
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGNkYjdiMzE4MWQxZmIyMjYzM2Y0MDU3YmFlZDg1ZmE5NTBiZTVhM2NkYTRjMmU1ZWE5MmUwMmI2NmM5ODZkMyIsInZlcnNpb24iOjF9.qjFjlfIVHew80u5t_U44n9J6_PufNyv3faHaqML_pgo3VYBrbZWHX75jnBHThueWSK2hQhhmwaxSmR4ZYndRBA
- type: loss
value: 2.6858959197998047
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWEwMzJiODEzY2Y0OTE3NzAyMzM1MjAxYzJjN2Y2ZGU3MGQ0MjFmZDg5ZGFlNGQ1YjJlN2I5MTFhNDE3NjZkYyIsInZlcnNpb24iOjF9.cPkbHIU3UQYMF7gUZx9Iqu-265jgv7pcgedRdVEsvxq2gfgdlyFDROQK9KI2cfk4GbQogsXEca91NdKohWFtCA
- type: gen_len
value: 18.9249
name: gen_len
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTM3M2M0YjIzMTNmNTg2OTVmNDJhZjEwODEzNTBkODk0N2E0ZTZjNjg4MWY1OTk1ZGMzZTRmNzVkN2Y2ZDE4NyIsInZlcnNpb24iOjF9.Qo6HhXLr-j-aPKRL3ZVdMJMwTCQAUhAPUcLlN-2lGSS9tAoxVJEYr0O8SttMWbBDw3owivQdduxVre9SGUKuBQ
---
<!-- 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. -->
# flan-t5-large-finetuned-openai-summarize_from_feedback
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the summarize_from_feedback dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3118
- Rouge1: 30.2401
- Rouge2: 11.4916
- Rougel: 24.6485
- Rougelsum: 26.1801
- Gen Len: 18.8428
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
See [Tensorboard](https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback/tensorboard)
### Citation
```
@misc {manuel_romero_2023,
author = { {Manuel Romero} },
title = { flan-t5-large-finetuned-openai-summarize_from_feedback (Revision 51666f9) },
year = 2023,
url = { https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback },
doi = { 10.57967/hf/0266 },
publisher = { Hugging Face }
}
```
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2