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# squad-bn-qgen-banglat5

This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the squad_bn dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4808
- Rouge1 Precision: 37.7366
- Rouge1 Recall: 34.2712
- Rouge1 Fmeasure: 34.8738
- Rouge2 Precision: 16.2055
- Rouge2 Recall: 14.568
- Rouge2 Fmeasure: 14.852
- Rougel Precision: 35.4241
- Rougel Recall: 32.2011
- Rougel Fmeasure: 32.7617
- Rougelsum Precision: 35.4167
- Rougelsum Recall: 32.1978
- Rougelsum Fmeasure: 32.7572
- Sacrebleu: 8.0898
- Meteor: 0.1782
- Gen Len: 9.8299

## 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: 4
- eval_batch_size: 4
- 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 Precision | Rouge1 Recall | Rouge1 Fmeasure | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | Rougel Precision | Rougel Recall | Rougel Fmeasure | Rougelsum Precision | Rougelsum Recall | Rougelsum Fmeasure | Sacrebleu | Meteor | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|:----------------:|:-------------:|:---------------:|:----------------:|:-------------:|:---------------:|:-------------------:|:----------------:|:------------------:|:---------:|:------:|:-------:|
| 0.5208        | 1.0   | 16396 | 0.4683          | 38.566           | 35.5094       | 35.9216         | 17.0701          | 15.3916       | 15.6829         | 36.4433          | 33.5298       | 33.958          | 36.4637             | 33.5496          | 33.9913            | 8.6055    | 0.1799 | 9.8340  |
| 0.479         | 2.0   | 32792 | 0.4815          | 40.7475          | 35.8163       | 37.0498         | 17.9002          | 15.2742       | 15.9601         | 38.6977          | 33.8607       | 35.1258         | 38.7261             | 33.8717          | 35.1537            | 9.0561    | 0.1835 | 9.4338  |
| 0.4577        | 3.0   | 49188 | 0.4879          | 40.6712          | 36.2763       | 37.2775         | 18.5942          | 16.0689       | 16.7206         | 38.8546          | 34.5013       | 35.5491         | 38.8633             | 34.5255          | 35.5682            | 9.7947    | 0.1879 | 9.6324  |
| 0.4389        | 4.0   | 65584 | 0.4881          | 41.4251          | 36.2873       | 37.6272         | 18.561           | 15.7067       | 16.5358         | 39.434           | 34.3496       | 35.7457         | 39.533              | 34.4702          | 35.8347            | 9.7612    | 0.1881 | 9.3944  |
| 0.4321        | 5.0   | 81980 | 0.4937          | 41.1197          | 36.0568       | 37.4121         | 18.7179          | 15.8348       | 16.6644         | 39.3386          | 34.3177       | 35.7088         | 39.3171             | 34.3015          | 35.6748            | 9.8263    | 0.1887 | 9.4040  |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "datasets": ["squad_bn"], "metrics": ["sacrebleu"], "model-index": [{"name": "squad-bn-qgen-banglat5", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "squad_bn", "type": "squad_bn", "args": "squad_bn"}, "metrics": [{"type": "sacrebleu", "value": 8.0898, "name": "Sacrebleu"}]}]}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:squad_bn model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-squad_bn #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

squad-bn-qgen-banglat5
======================


This model is a fine-tuned version of csebuetnlp/banglat5 on the squad\_bn dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4808
* Rouge1 Precision: 37.7366
* Rouge1 Recall: 34.2712
* Rouge1 Fmeasure: 34.8738
* Rouge2 Precision: 16.2055
* Rouge2 Recall: 14.568
* Rouge2 Fmeasure: 14.852
* Rougel Precision: 35.4241
* Rougel Recall: 32.2011
* Rougel Fmeasure: 32.7617
* Rougelsum Precision: 35.4167
* Rougelsum Recall: 32.1978
* Rougelsum Fmeasure: 32.7572
* Sacrebleu: 8.0898
* Meteor: 0.1782
* Gen Len: 9.8299


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: 4
* eval\_batch\_size: 4
* 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 4.20.1
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* 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 4.20.1
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-squad_bn #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: 4
* eval\_batch\_size: 4
* 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 4.20.1
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-squad_bn #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: 4
* eval\_batch\_size: 4
* 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 4.20.1
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1