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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- stackexchange_titlebody_best_voted_answer_jsonl
metrics:
- rouge
model-index:
- name: flan-t5-base-flant5-apple-support
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: stackexchange_titlebody_best_voted_answer_jsonl
type: stackexchange_titlebody_best_voted_answer_jsonl
config: apple
split: train[:2%]
args: apple
metrics:
- name: Rouge1
type: rouge
value: 12.4139
---
<!-- 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-base-flant5-apple-support
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the stackexchange_titlebody_best_voted_answer_jsonl dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0475
- Rouge1: 12.4139
- Rouge2: 2.0562
- Rougel: 9.4938
- Rougelsum: 11.0524
- Gen Len: 18.9589
## 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: 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 232 | 3.0886 | 12.844 | 2.1734 | 9.8971 | 11.3641 | 18.8876 |
| No log | 2.0 | 464 | 3.0639 | 12.2909 | 2.1209 | 9.4999 | 10.9458 | 18.9416 |
| 3.3185 | 3.0 | 696 | 3.0538 | 12.4154 | 2.0984 | 9.4989 | 11.0684 | 18.9492 |
| 3.3185 | 4.0 | 928 | 3.0489 | 12.7043 | 2.1969 | 9.7356 | 11.3629 | 18.9481 |
| 3.187 | 5.0 | 1160 | 3.0475 | 12.4139 | 2.0562 | 9.4938 | 11.0524 | 18.9589 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2
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