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# dialogpt-medium-no_ear

This model is a fine-tuned version of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5659

## 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: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.109         | 0.01  | 10   | 9.8250          |
| 8.6669        | 0.02  | 20   | 8.9632          |
| 5.0713        | 0.03  | 30   | 4.2372          |
| 1.5919        | 0.04  | 40   | 1.2643          |
| 0.957         | 0.05  | 50   | 1.0243          |
| 1.0602        | 0.06  | 60   | 0.9280          |
| 0.9131        | 0.07  | 70   | 0.8479          |
| 0.8981        | 0.08  | 80   | 0.7994          |
| 0.6697        | 0.09  | 90   | 0.7674          |
| 0.9282        | 0.1   | 100  | 0.7433          |
| 0.9447        | 0.11  | 110  | 0.7271          |
| 0.7462        | 0.12  | 120  | 0.7156          |
| 0.7161        | 0.13  | 130  | 0.7040          |
| 0.8005        | 0.14  | 140  | 0.6934          |
| 0.579         | 0.15  | 150  | 0.6848          |
| 0.8563        | 0.16  | 160  | 0.6770          |
| 0.6635        | 0.17  | 170  | 0.6692          |
| 0.8981        | 0.18  | 180  | 0.6613          |
| 0.731         | 0.19  | 190  | 0.6552          |
| 0.9141        | 0.2   | 200  | 0.6492          |
| 0.5798        | 0.21  | 210  | 0.6446          |
| 0.6765        | 0.22  | 220  | 0.6400          |
| 0.621         | 0.23  | 230  | 0.6356          |
| 0.601         | 0.24  | 240  | 0.6330          |
| 0.5373        | 0.25  | 250  | 0.6301          |
| 0.64          | 0.26  | 260  | 0.6261          |
| 0.6474        | 0.27  | 270  | 0.6224          |
| 0.6433        | 0.28  | 280  | 0.6197          |
| 0.604         | 0.29  | 290  | 0.6167          |
| 0.6947        | 0.3   | 300  | 0.6143          |
| 0.606         | 0.31  | 310  | 0.6116          |
| 0.6329        | 0.32  | 320  | 0.6103          |
| 0.5827        | 0.33  | 330  | 0.6086          |
| 0.5401        | 0.34  | 340  | 0.6074          |
| 0.6682        | 0.35  | 350  | 0.6066          |
| 0.6235        | 0.36  | 360  | 0.6039          |
| 0.6753        | 0.37  | 370  | 0.6018          |
| 0.6582        | 0.38  | 380  | 0.6001          |
| 0.5886        | 0.39  | 390  | 0.5995          |
| 0.6826        | 0.4   | 400  | 0.5983          |
| 0.5701        | 0.41  | 410  | 0.5973          |
| 0.7211        | 0.42  | 420  | 0.5962          |
| 0.6857        | 0.43  | 430  | 0.5944          |
| 0.6894        | 0.44  | 440  | 0.5922          |
| 0.6034        | 0.45  | 450  | 0.5920          |
| 0.6199        | 0.46  | 460  | 0.5925          |
| 0.6487        | 0.47  | 470  | 0.5904          |
| 0.5674        | 0.48  | 480  | 0.5884          |
| 0.4604        | 0.49  | 490  | 0.5876          |
| 0.5617        | 0.5   | 500  | 0.5865          |
| 0.5553        | 0.51  | 510  | 0.5852          |
| 0.6245        | 0.52  | 520  | 0.5846          |
| 0.5015        | 0.53  | 530  | 0.5837          |
| 0.6115        | 0.54  | 540  | 0.5836          |
| 0.5197        | 0.55  | 550  | 0.5831          |
| 0.6451        | 0.56  | 560  | 0.5820          |
| 0.6348        | 0.57  | 570  | 0.5817          |
| 0.5413        | 0.58  | 580  | 0.5803          |
| 0.6283        | 0.59  | 590  | 0.5795          |
| 0.5502        | 0.6   | 600  | 0.5789          |
| 0.6853        | 0.61  | 610  | 0.5776          |
| 0.5457        | 0.62  | 620  | 0.5770          |
| 0.6369        | 0.63  | 630  | 0.5762          |
| 0.7152        | 0.64  | 640  | 0.5756          |
| 0.534         | 0.65  | 650  | 0.5759          |
| 0.5276        | 0.66  | 660  | 0.5753          |
| 0.6566        | 0.67  | 670  | 0.5750          |
| 0.504         | 0.68  | 680  | 0.5746          |
| 0.5552        | 0.69  | 690  | 0.5740          |
| 0.4891        | 0.7   | 700  | 0.5746          |
| 0.6463        | 0.71  | 710  | 0.5743          |
| 0.5943        | 0.72  | 720  | 0.5732          |
| 0.5833        | 0.73  | 730  | 0.5726          |
| 0.5904        | 0.74  | 740  | 0.5719          |
| 0.5971        | 0.75  | 750  | 0.5718          |
| 0.5906        | 0.76  | 760  | 0.5710          |
| 0.6268        | 0.77  | 770  | 0.5701          |
| 0.5872        | 0.78  | 780  | 0.5698          |
| 0.571         | 0.79  | 790  | 0.5690          |
| 0.6224        | 0.8   | 800  | 0.5686          |
| 0.5397        | 0.81  | 810  | 0.5683          |
| 0.5658        | 0.82  | 820  | 0.5683          |
| 0.4248        | 0.83  | 830  | 0.5680          |
| 0.5334        | 0.84  | 840  | 0.5674          |
| 0.5338        | 0.85  | 850  | 0.5672          |
| 0.641         | 0.86  | 860  | 0.5669          |
| 0.5601        | 0.87  | 870  | 0.5660          |
| 0.6031        | 0.88  | 880  | 0.5654          |
| 0.5738        | 0.89  | 890  | 0.5652          |
| 0.5619        | 0.9   | 900  | 0.5655          |
| 0.4863        | 0.91  | 910  | 0.5667          |
| 0.5421        | 0.92  | 920  | 0.5659          |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "dialogpt-medium-no_ear", "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 

dialogpt-medium-no\_ear
=======================


This model is a fine-tuned version of microsoft/DialoGPT-medium on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5659


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: 21
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 3.0


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 21
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 3.0 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* 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: 4
* eval\_batch\_size: 4
* seed: 21
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 3.0 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* 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: 4
* eval\_batch\_size: 4
* seed: 21
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 3.0### Training results### Framework versions


* Transformers 4.27.4
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.12.1