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# gpt2-Mariia

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3410

## 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
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 29   | 4.0311          |
| No log        | 2.0   | 58   | 3.9367          |
| No log        | 3.0   | 87   | 3.9125          |
| No log        | 4.0   | 116  | 3.9026          |
| No log        | 5.0   | 145  | 3.9160          |
| No log        | 6.0   | 174  | 3.9224          |
| No log        | 7.0   | 203  | 3.9454          |
| No log        | 8.0   | 232  | 3.9610          |
| No log        | 9.0   | 261  | 3.9786          |
| No log        | 10.0  | 290  | 4.0058          |
| No log        | 11.0  | 319  | 4.0150          |
| No log        | 12.0  | 348  | 4.0421          |
| No log        | 13.0  | 377  | 4.0640          |
| No log        | 14.0  | 406  | 4.0809          |
| No log        | 15.0  | 435  | 4.1040          |
| No log        | 16.0  | 464  | 4.1216          |
| No log        | 17.0  | 493  | 4.1395          |
| 2.7939        | 18.0  | 522  | 4.1626          |
| 2.7939        | 19.0  | 551  | 4.1772          |
| 2.7939        | 20.0  | 580  | 4.1991          |
| 2.7939        | 21.0  | 609  | 4.2156          |
| 2.7939        | 22.0  | 638  | 4.2221          |
| 2.7939        | 23.0  | 667  | 4.2483          |
| 2.7939        | 24.0  | 696  | 4.2537          |
| 2.7939        | 25.0  | 725  | 4.2675          |
| 2.7939        | 26.0  | 754  | 4.2860          |
| 2.7939        | 27.0  | 783  | 4.2955          |
| 2.7939        | 28.0  | 812  | 4.3114          |
| 2.7939        | 29.0  | 841  | 4.3186          |
| 2.7939        | 30.0  | 870  | 4.3206          |
| 2.7939        | 31.0  | 899  | 4.3260          |
| 2.7939        | 32.0  | 928  | 4.3331          |
| 2.7939        | 33.0  | 957  | 4.3404          |
| 2.7939        | 34.0  | 986  | 4.3408          |
| 2.1316        | 34.48 | 1000 | 4.3410          |


### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

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

gpt2-Mariia
===========


This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 4.3410


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
* training\_steps: 1000


### Training results



### Framework versions


* Transformers 4.27.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* 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
* training\_steps: 1000 ### Training results ### Framework versions


* Transformers 4.27.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #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: 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
* training\_steps: 1000 ### Training results ### Framework versions


* Transformers 4.27.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #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: 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
* training\_steps: 1000### Training results### Framework versions


* Transformers 4.27.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2