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# 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

{"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": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "stackexchange_titlebody_best_voted_answer_jsonl", "type": "stackexchange_titlebody_best_voted_answer_jsonl", "config": "apple", "split": "train[:2%]", "args": "apple"}, "metrics": [{"type": "rouge", "value": 12.4139, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:stackexchange_titlebody_best_voted_answer_jsonl license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-stackexchange_titlebody_best_voted_answer_jsonl #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-base-flant5-apple-support
=================================


This model is a fine-tuned version of 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



### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.1+cu117
* Datasets 2.8.0
* Tokenizers 0.13.2



### 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 ### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.1+cu117
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-stackexchange_titlebody_best_voted_answer_jsonl #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### 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 ### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.1+cu117
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-stackexchange_titlebody_best_voted_answer_jsonl #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### 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### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.1+cu117
* Datasets 2.8.0
* Tokenizers 0.13.2