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# flan-t5-base-SQuAD-qag-ep6

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0075
- Rouge1: 39.0569
- Rouge2: 17.6997
- Rougel: 35.5578
- Rougelsum: 35.5512
- F1: 18.3373
- Exact Match: 13.014
- Gen Len: 18.4509

## 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: 2e-05
- train_batch_size: 84
- eval_batch_size: 168
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | F1      | Exact Match | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-----------:|:-------:|
| 1.2679        | 0.89  | 200  | 1.0379          | 38.2769 | 16.8906 | 34.7944 | 34.8178   | 16.7543 | 11.7078     | 18.5225 |
| 1.151         | 1.78  | 400  | 1.0222          | 38.7208 | 17.2857 | 35.2522 | 35.2879   | 17.8568 | 12.8205     | 18.4756 |
| 1.1243        | 2.67  | 600  | 1.0141          | 38.677  | 17.2919 | 35.207  | 35.2374   | 17.8534 | 12.9173     | 18.4741 |
| 1.1183        | 3.56  | 800  | 1.0109          | 38.5725 | 17.1551 | 35.0545 | 35.0774   | 18.0599 | 13.2559     | 18.4722 |
| 1.0949        | 4.44  | 1000 | 1.0096          | 38.9484 | 17.6335 | 35.4819 | 35.4888   | 18.0128 | 13.2075     | 18.464  |
| 1.0983        | 5.33  | 1200 | 1.0075          | 39.0569 | 17.6997 | 35.5578 | 35.5512   | 18.3373 | 13.014      | 18.4509 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "f1"], "model-index": [{"name": "flan-t5-base-SQuAD-qag-ep6", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-base-SQuAD-qag-ep6
==========================


This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.0075
* Rouge1: 39.0569
* Rouge2: 17.6997
* Rougel: 35.5578
* Rougelsum: 35.5512
* F1: 18.3373
* Exact Match: 13.014
* Gen Len: 18.4509


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: 2e-05
* train\_batch\_size: 84
* eval\_batch\_size: 168
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 6


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.5.1
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 84
* eval\_batch\_size: 168
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 6 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 84
* eval\_batch\_size: 168
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 6 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.5.1
* Tokenizers 0.12.1