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# t5-pegasus-finetuned_test

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0045
- Sacrebleu: 0.8737
- Rouge 1: 0.0237
- Rouge 2: 0.0
- Rouge L: 0.0232
- Bleu 1: 0.1444
- Bleu 2: 0.0447
- Bleu 3: 0.0175
- Bleu 4: 0.0083
- Meteor: 0.0609
- Gen Len: 15.098

## 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: 128
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Rouge 1 | Rouge 2 | Rouge L | Bleu 1 | Bleu 2 | Bleu 3 | Bleu 4 | Meteor | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|:-------:|:-------:|:------:|:------:|:------:|:------:|:------:|:-------:|
| No log        | 52.5  | 210  | 5.9818          | 0.9114    | 0.0229  | 0.0     | 0.0225  | 0.1424 | 0.0436 | 0.0183 | 0.0091 | 0.06   | 15.126  |
| No log        | 70.0  | 280  | 6.0072          | 0.876     | 0.0233  | 0.0     | 0.0228  | 0.1437 | 0.0452 | 0.0177 | 0.0083 | 0.0607 | 15.088  |
| No log        | 87.5  | 350  | 6.0017          | 0.8695    | 0.0229  | 0.0     | 0.0225  | 0.1445 | 0.0443 | 0.0175 | 0.0082 | 0.0609 | 15.12   |


### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "metrics": ["sacrebleu"], "model-index": [{"name": "t5-pegasus-finetuned_test", "results": []}]}
transformers pytorch bart text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

t5-pegasus-finetuned\_test
==========================


This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 6.0045
* Sacrebleu: 0.8737
* Rouge 1: 0.0237
* Rouge 2: 0.0
* Rouge L: 0.0232
* Bleu 1: 0.1444
* Bleu 2: 0.0447
* Bleu 3: 0.0175
* Bleu 4: 0.0083
* Meteor: 0.0609
* Gen Len: 15.098


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: 128
* eval\_batch\_size: 64
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 256
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 64
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 256
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #bart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 64
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 256
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #bart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 128
* eval\_batch\_size: 64
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 256
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1