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# 22_09_07_walser_blocks_larger_fp16_5ep

This model is a fine-tuned version of [stefan-it/german-gpt2-larger](https://huggingface.co/stefan-it/german-gpt2-larger) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1738
- Accuracy: 0.2760

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.45  | 50   | 5.2435          | 0.1883   |
| No log        | 0.91  | 100  | 4.6670          | 0.2259   |
| No log        | 1.36  | 150  | 4.4367          | 0.2481   |
| No log        | 1.82  | 200  | 4.3258          | 0.2597   |
| 6.175         | 2.27  | 250  | 4.2705          | 0.2648   |
| 6.175         | 2.73  | 300  | 4.2318          | 0.2697   |
| 6.175         | 3.18  | 350  | 4.2090          | 0.2719   |
| 6.175         | 3.64  | 400  | 4.1915          | 0.2740   |
| 6.175         | 4.09  | 450  | 4.1823          | 0.2746   |
| 3.9191        | 4.55  | 500  | 4.1761          | 0.2757   |
| 3.9191        | 5.0   | 550  | 4.1738          | 0.2760   |


### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.11.0.post202
- Datasets 2.3.2
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "22_09_07_walser_blocks_larger_fp16_5ep", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

22\_09\_07\_walser\_blocks\_larger\_fp16\_5ep
=============================================


This model is a fine-tuned version of stefan-it/german-gpt2-larger on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 4.1738
* Accuracy: 0.2760


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: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 16
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.11.0.post202
* Datasets 2.3.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 16
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.11.0.post202
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 16
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.11.0.post202
* Datasets 2.3.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 16
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5.0
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.22.0.dev0
* Pytorch 1.11.0.post202
* Datasets 2.3.2
* Tokenizers 0.12.1