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# flan-t5-base-SQuAD-qag-ep8

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: 0.9551
- Rouge1: 39.487
- Rouge2: 18.1089
- Rougel: 36.0418
- Rougelsum: 36.0741
- F1: 19.5455
- Exact Match: 13.7397
- Gen Len: 18.4233

## 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: 72
- eval_batch_size: 144
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | F1      | Exact Match | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-----------:|:-------:|
| 1.2252        | 0.76  | 200  | 0.9938          | 38.6398 | 17.1928 | 35.2146 | 35.1936   | 17.2662 | 11.9981     | 18.5075 |
| 1.107         | 1.52  | 400  | 0.9772          | 38.6809 | 17.2381 | 35.1093 | 35.1221   | 16.6281 | 11.8529     | 18.5128 |
| 1.0804        | 2.28  | 600  | 0.9676          | 38.3959 | 17.2286 | 34.9647 | 34.9807   | 17.5379 | 12.5786     | 18.4935 |
| 1.0658        | 3.04  | 800  | 0.9648          | 38.7751 | 17.4478 | 35.3216 | 35.3479   | 17.7663 | 12.627      | 18.4785 |
| 1.0548        | 3.8   | 1000 | 0.9605          | 39.2758 | 17.9529 | 35.8118 | 35.8389   | 18.2213 | 13.014      | 18.4577 |
| 1.0334        | 4.56  | 1200 | 0.9593          | 39.3076 | 17.9033 | 35.7966 | 35.8114   | 18.4676 | 13.014      | 18.4509 |
| 1.0374        | 5.32  | 1400 | 0.9571          | 39.247  | 17.9242 | 35.7772 | 35.8175   | 18.8109 | 13.1108     | 18.4335 |
| 1.0234        | 6.08  | 1600 | 0.9570          | 39.107  | 17.8715 | 35.7158 | 35.7526   | 19.1988 | 13.5946     | 18.4277 |
| 1.0171        | 6.84  | 1800 | 0.9556          | 39.3609 | 18.0643 | 35.9274 | 35.9571   | 19.2928 | 13.643      | 18.4257 |
| 1.0188        | 7.6   | 2000 | 0.9551          | 39.487  | 18.1089 | 36.0418 | 36.0741   | 19.5455 | 13.7397     | 18.4233 |


### 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-ep8", "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-ep8
==========================


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: 0.9551
* Rouge1: 39.487
* Rouge2: 18.1089
* Rougel: 36.0418
* Rougelsum: 36.0741
* F1: 19.5455
* Exact Match: 13.7397
* Gen Len: 18.4233


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: 72
* eval\_batch\_size: 144
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8


### 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: 72
* eval\_batch\_size: 144
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8 ### 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: 72
* eval\_batch\_size: 144
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8 ### Training results ### Framework versions


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