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# dialogpt-medium-ear_1-hs_cn_decay

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: 0.5666

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3092        | 0.01  | 10   | 9.8250          |
| 5.7405        | 0.02  | 20   | 8.9631          |
| 2.3101        | 0.03  | 30   | 4.2371          |
| -1.1908       | 0.04  | 40   | 1.2645          |
| -1.8271       | 0.05  | 50   | 1.0242          |
| -1.6416       | 0.06  | 60   | 0.9279          |
| -1.8192       | 0.07  | 70   | 0.8478          |
| -1.8256       | 0.08  | 80   | 0.7994          |
| -1.9314       | 0.09  | 90   | 0.7673          |
| -1.8831       | 0.1   | 100  | 0.7432          |
| -1.7094       | 0.11  | 110  | 0.7269          |
| -1.8073       | 0.12  | 120  | 0.7155          |
| -1.8911       | 0.13  | 130  | 0.7037          |
| -1.786        | 0.14  | 140  | 0.6932          |
| -2.0278       | 0.15  | 150  | 0.6846          |
| -1.7418       | 0.16  | 160  | 0.6769          |
| -2.0351       | 0.17  | 170  | 0.6691          |
| -1.8694       | 0.18  | 180  | 0.6612          |
| -1.7626       | 0.19  | 190  | 0.6551          |
| -1.7849       | 0.2   | 200  | 0.6492          |
| -2.0599       | 0.21  | 210  | 0.6446          |
| -1.9591       | 0.22  | 220  | 0.6401          |
| -1.9246       | 0.23  | 230  | 0.6359          |
| -1.8881       | 0.24  | 240  | 0.6334          |
| -1.9835       | 0.25  | 250  | 0.6306          |
| -1.8657       | 0.26  | 260  | 0.6264          |
| -1.9111       | 0.27  | 270  | 0.6225          |
| -1.9939       | 0.28  | 280  | 0.6198          |
| -2.0166       | 0.29  | 290  | 0.6170          |
| -1.755        | 0.3   | 300  | 0.6144          |
| -1.8769       | 0.31  | 310  | 0.6118          |
| -1.9875       | 0.32  | 320  | 0.6107          |
| -1.8674       | 0.33  | 330  | 0.6091          |
| -1.8181       | 0.34  | 340  | 0.6079          |
| -1.8287       | 0.35  | 350  | 0.6071          |
| -1.8231       | 0.36  | 360  | 0.6043          |
| -1.745        | 0.37  | 370  | 0.6030          |
| -1.7558       | 0.38  | 380  | 0.6011          |
| -1.9552       | 0.39  | 390  | 0.6009          |
| -1.7529       | 0.4   | 400  | 0.5994          |
| -1.8206       | 0.41  | 410  | 0.5984          |
| -1.7374       | 0.42  | 420  | 0.5972          |
| -1.6562       | 0.43  | 430  | 0.5952          |
| -1.6346       | 0.44  | 440  | 0.5932          |
| -1.7629       | 0.45  | 450  | 0.5933          |
| -1.8789       | 0.46  | 460  | 0.5939          |
| -1.7258       | 0.47  | 470  | 0.5912          |
| -1.8586       | 0.48  | 480  | 0.5896          |
| -1.8896       | 0.49  | 490  | 0.5890          |
| -1.7129       | 0.5   | 500  | 0.5876          |
| -1.7824       | 0.51  | 510  | 0.5860          |
| -1.725        | 0.52  | 520  | 0.5855          |
| -1.7602       | 0.53  | 530  | 0.5849          |
| -1.6211       | 0.54  | 540  | 0.5848          |
| -1.8583       | 0.55  | 550  | 0.5842          |
| -1.5637       | 0.56  | 560  | 0.5832          |
| -1.5247       | 0.57  | 570  | 0.5830          |
| -1.7575       | 0.58  | 580  | 0.5818          |
| -1.6036       | 0.59  | 590  | 0.5809          |
| -1.7476       | 0.6   | 600  | 0.5802          |
| -1.5963       | 0.61  | 610  | 0.5784          |
| -1.6185       | 0.62  | 620  | 0.5778          |
| -1.543        | 0.63  | 630  | 0.5770          |
| -1.4096       | 0.64  | 640  | 0.5765          |
| -1.6566       | 0.65  | 650  | 0.5771          |
| -1.6998       | 0.66  | 660  | 0.5765          |
| -1.5556       | 0.67  | 670  | 0.5762          |
| -1.5735       | 0.68  | 680  | 0.5756          |
| -1.4755       | 0.69  | 690  | 0.5750          |
| -1.631        | 0.7   | 700  | 0.5756          |
| -1.4281       | 0.71  | 710  | 0.5751          |
| -1.5514       | 0.72  | 720  | 0.5739          |
| -1.4284       | 0.73  | 730  | 0.5736          |
| -1.5609       | 0.74  | 740  | 0.5729          |
| -1.5762       | 0.75  | 750  | 0.5727          |
| -1.5067       | 0.76  | 760  | 0.5719          |
| -1.4276       | 0.77  | 770  | 0.5710          |
| -1.4509       | 0.78  | 780  | 0.5707          |
| -1.5881       | 0.79  | 790  | 0.5699          |
| -1.5085       | 0.8   | 800  | 0.5696          |
| -1.5048       | 0.81  | 810  | 0.5694          |
| -1.4063       | 0.82  | 820  | 0.5694          |
| -1.6457       | 0.83  | 830  | 0.5689          |
| -1.357        | 0.84  | 840  | 0.5683          |
| -1.5625       | 0.85  | 850  | 0.5684          |
| -1.3136       | 0.86  | 860  | 0.5680          |
| -1.3961       | 0.87  | 870  | 0.5669          |
| -1.322        | 0.88  | 880  | 0.5664          |
| -1.3932       | 0.89  | 890  | 0.5662          |
| -1.3923       | 0.9   | 900  | 0.5665          |
| -1.4139       | 0.91  | 910  | 0.5675          |
| -1.4337       | 0.92  | 920  | 0.5666          |


### 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-ear_1-hs_cn_decay", "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-ear\_1-hs\_cn\_decay
====================================


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: 0.5666


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