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# switch-base-8-finetuned-samsum

This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co/google/switch-base-8) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4606
- Rouge1: 46.5651
- Rouge2: 23.2378
- Rougel: 39.4484
- Rougelsum: 43.1011
- Gen Len: 17.0183

## 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  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8829        | 1.0   | 3683  | 1.5154          | 46.3805 | 23.0982 | 39.0612 | 43.0142   | 17.6296 |
| 1.6207        | 2.0   | 7366  | 1.4578          | 47.7434 | 24.9471 | 40.6481 | 44.351    | 17.2066 |
| 1.442         | 3.0   | 11049 | 1.4360          | 47.6903 | 24.9954 | 40.713  | 44.3487   | 17.0501 |
| 1.3103        | 4.0   | 14732 | 1.4396          | 48.4517 | 25.7725 | 41.5212 | 45.1211   | 16.9071 |
| 1.2393        | 5.0   | 18415 | 1.4445          | 48.4002 | 25.8727 | 41.5361 | 45.0467   | 16.9804 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "base_model": "google/switch-base-8", "model-index": [{"name": "switch-base-8-finetuned-samsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "samsum", "type": "samsum", "config": "samsum", "split": "train", "args": "samsum"}, "metrics": [{"type": "rouge", "value": 46.5651, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard safetensors switch_transformers text2text-generation generated_from_trainer dataset:samsum base_model:google/switch-base-8 license:apache-2.0 model-index autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #switch_transformers #text2text-generation #generated_from_trainer #dataset-samsum #base_model-google/switch-base-8 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us 

switch-base-8-finetuned-samsum
==============================


This model is a fine-tuned version of google/switch-base-8 on the samsum dataset.
It achieves the following results on the evaluation set:


* Loss: 1.4606
* Rouge1: 46.5651
* Rouge2: 23.2378
* Rougel: 39.4484
* Rougelsum: 43.1011
* Gen Len: 17.0183


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 4.25.1
* Pytorch 1.13.1+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2



### 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 4.25.1
* Pytorch 1.13.1+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #switch_transformers #text2text-generation #generated_from_trainer #dataset-samsum #base_model-google/switch-base-8 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #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 4.25.1
* Pytorch 1.13.1+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #switch_transformers #text2text-generation #generated_from_trainer #dataset-samsum #base_model-google/switch-base-8 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #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 4.25.1
* Pytorch 1.13.1+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2