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# resume6

This model is a fine-tuned version of [AKbuyer/resume5](https://huggingface.co/AKbuyer/resume5) on the multi_news dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9796
- Rouge1: 22.1762
- Rouge2: 6.6459
- Rougel: 18.3710
- Rougelsum: 18.3626
- Gen Len: 1893.4899

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len   |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:---------:|
| 3.3348        | 1.0   | 5622  | 3.0918          | 21.3362 | 6.1922 | 17.7104 | 17.6992   | 1893.0630 |
| 3.2854        | 2.0   | 11244 | 3.0466          | 21.6506 | 6.3791 | 17.9362 | 17.9246   | 1891.6044 |
| 3.2205        | 3.0   | 16866 | 3.0200          | 21.8475 | 6.4847 | 18.0981 | 18.0882   | 1892.4760 |
| 3.2251        | 4.0   | 22488 | 3.0029          | 22.0082 | 6.5196 | 18.2405 | 18.2301   | 1892.9385 |
| 3.2348        | 5.0   | 28110 | 2.9916          | 22.1078 | 6.5975 | 18.3134 | 18.2985   | 1893.3298 |
| 3.2257        | 6.0   | 33732 | 2.9845          | 22.1627 | 6.6119 | 18.3677 | 18.3496   | 1893.5788 |
| 3.2106        | 7.0   | 39354 | 2.9806          | 22.1825 | 6.6472 | 18.3798 | 18.3664   | 1893.5432 |
| 3.22          | 8.0   | 44976 | 2.9796          | 22.1762 | 6.6459 | 18.3710 | 18.3626   | 1893.4899 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["multi_news"], "metrics": ["rouge"], "model-index": [{"name": "resume6", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "multi_news", "type": "multi_news", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "rouge", "value": 22.17621046093242, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:multi_news license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-multi_news #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

resume6
=======


This model is a fine-tuned version of AKbuyer/resume5 on the multi\_news dataset.
It achieves the following results on the evaluation set:


* Loss: 2.9796
* Rouge1: 22.1762
* Rouge2: 6.6459
* Rougel: 18.3710
* Rougelsum: 18.3626
* Gen Len: 1893.4899


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-07
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-07
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-multi_news #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-07
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3