
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# summarizing_lit_only

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4906
- Rouge1: 0.1089
- Rouge2: 0.0191
- Rougel: 0.0871
- Rougelsum: 0.0874
- 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: 16
- eval_batch_size: 16
- seed: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 19   | 4.3297          | 0.1055 | 0.0162 | 0.0847 | 0.0847    | 19.0    |
| No log        | 2.0   | 38   | 3.8465          | 0.1108 | 0.0168 | 0.0886 | 0.0887    | 19.0    |
| No log        | 3.0   | 57   | 3.6785          | 0.1083 | 0.0156 | 0.0853 | 0.0854    | 19.0    |
| No log        | 4.0   | 76   | 3.5973          | 0.1029 | 0.0141 | 0.083  | 0.0829    | 19.0    |
| No log        | 5.0   | 95   | 3.5518          | 0.1083 | 0.0174 | 0.0876 | 0.0878    | 19.0    |
| No log        | 6.0   | 114  | 3.5261          | 0.1089 | 0.0178 | 0.0882 | 0.0886    | 19.0    |
| No log        | 7.0   | 133  | 3.5093          | 0.1093 | 0.0178 | 0.0875 | 0.0879    | 19.0    |
| No log        | 8.0   | 152  | 3.4986          | 0.1104 | 0.0187 | 0.088  | 0.0884    | 19.0    |
| No log        | 9.0   | 171  | 3.4926          | 0.1093 | 0.0187 | 0.0875 | 0.0876    | 19.0    |
| No log        | 10.0  | 190  | 3.4906          | 0.1089 | 0.0191 | 0.0871 | 0.0874    | 19.0    |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "summarizing_lit_only", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

summarizing\_lit\_only
======================


This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 3.4906
* Rouge1: 0.1089
* Rouge2: 0.0191
* Rougel: 0.0871
* Rougelsum: 0.0874
* 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: 16
* eval\_batch\_size: 16
* seed: 72
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 72
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #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: 16
* eval\_batch\_size: 16
* seed: 72
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3