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# finetuned_gpt2-xl_sst2_negation0.1_pretrainedFalse_epochs10

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the sst2 dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2784

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7811        | 1.0   | 1329  | 3.1311          |
| 1.0842        | 2.0   | 2658  | 3.4312          |
| 0.8781        | 3.0   | 3987  | 3.6260          |
| 0.7678        | 4.0   | 5316  | 3.7834          |
| 0.706         | 5.0   | 6645  | 3.9070          |
| 0.6531        | 6.0   | 7974  | 3.9999          |
| 0.6115        | 7.0   | 9303  | 4.0954          |
| 0.5744        | 8.0   | 10632 | 4.1809          |
| 0.5402        | 9.0   | 11961 | 4.2368          |
| 0.5158        | 10.0  | 13290 | 4.2784          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["sst2"], "model-index": [{"name": "finetuned_gpt2-xl_sst2_negation0.1_pretrainedFalse_epochs10", "results": []}]}
transformers pytorch tensorboard gpt2 text-generation generated_from_trainer dataset:sst2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-sst2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

finetuned\_gpt2-xl\_sst2\_negation0.1\_pretrainedFalse\_epochs10
================================================================


This model is a fine-tuned version of gpt2-xl on the sst2 dataset.
It achieves the following results on the evaluation set:


* Loss: 4.2784


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: 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: 10


### Training results



### Framework versions


* Transformers 4.25.1
* Pytorch 1.7.0
* Datasets 2.8.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 10 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.7.0
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-sst2 #license-mit #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: 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: 10 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.7.0
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #dataset-sst2 #license-mit #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: 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: 10### Training results### Framework versions


* Transformers 4.25.1
* Pytorch 1.7.0
* Datasets 2.8.0
* Tokenizers 0.13.2