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# t5-base-extraction-cnndm_10000-all

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8182
- Rouge1: 33.8286
- Rouge2: 14.4919
- Rougel: 28.8935
- Rougelsum: 28.9581
- Gen Len: 19.0

## 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: 24
- eval_batch_size: 48
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.9662        | 0.48  | 200  | 1.9092          | 33.2564 | 14.236  | 28.2044 | 28.3269   | 18.992  |
| 1.9495        | 0.96  | 400  | 1.8775          | 33.7516 | 14.2246 | 28.9019 | 28.9507   | 19.0    |
| 1.9062        | 1.44  | 600  | 1.8580          | 33.7533 | 14.2196 | 28.3873 | 28.4658   | 19.0    |
| 1.8713        | 1.92  | 800  | 1.8496          | 33.6921 | 14.4532 | 28.5695 | 28.6573   | 19.0    |
| 1.85          | 2.4   | 1000 | 1.8327          | 34.1551 | 14.7671 | 28.9492 | 28.9885   | 19.0    |
| 1.8232        | 2.88  | 1200 | 1.8182          | 33.8286 | 14.4919 | 28.8935 | 28.9581   | 19.0    |
| 1.8004        | 3.36  | 1400 | 1.8299          | 34.5099 | 14.8659 | 29.1119 | 29.1544   | 19.0    |
| 1.7832        | 3.84  | 1600 | 1.8252          | 34.5877 | 15.1259 | 29.3368 | 29.3638   | 19.0    |
| 1.7677        | 4.32  | 1800 | 1.8226          | 34.4487 | 15.0361 | 29.2962 | 29.3431   | 19.0    |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5-base-extraction-cnndm_10000-all", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

t5-base-extraction-cnndm\_10000-all
===================================


This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.8182
* Rouge1: 33.8286
* Rouge2: 14.4919
* Rougel: 28.8935
* Rougelsum: 28.9581
* Gen Len: 19.0


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: 24
* eval\_batch\_size: 48
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 24
* eval\_batch\_size: 48
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #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: 24
* eval\_batch\_size: 48
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #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: 24
* eval\_batch\_size: 48
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1