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# dialogpt-medium-ear_1-hs_cn

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: 0.5765

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3026        | 0.01  | 10   | 9.8250          |
| 5.7238        | 0.02  | 20   | 8.9634          |
| 2.2859        | 0.03  | 30   | 4.2371          |
| -1.2255       | 0.04  | 40   | 1.2646          |
| -1.8713       | 0.05  | 50   | 1.0242          |
| -1.694        | 0.06  | 60   | 0.9279          |
| -1.8816       | 0.07  | 70   | 0.8478          |
| -1.8973       | 0.08  | 80   | 0.7993          |
| -2.0091       | 0.09  | 90   | 0.7673          |
| -1.977        | 0.1   | 100  | 0.7432          |
| -1.8075       | 0.11  | 110  | 0.7269          |
| -1.9108       | 0.12  | 120  | 0.7154          |
| -2.0062       | 0.13  | 130  | 0.7037          |
| -1.9097       | 0.14  | 140  | 0.6932          |
| -2.1621       | 0.15  | 150  | 0.6846          |
| -1.8851       | 0.16  | 160  | 0.6769          |
| -2.194        | 0.17  | 170  | 0.6691          |
| -2.0428       | 0.18  | 180  | 0.6612          |
| -1.9283       | 0.19  | 190  | 0.6551          |
| -1.9743       | 0.2   | 200  | 0.6492          |
| -2.2554       | 0.21  | 210  | 0.6447          |
| -2.1644       | 0.22  | 220  | 0.6401          |
| -2.1329       | 0.23  | 230  | 0.6359          |
| -2.1015       | 0.24  | 240  | 0.6335          |
| -2.2095       | 0.25  | 250  | 0.6306          |
| -2.1004       | 0.26  | 260  | 0.6265          |
| -2.161        | 0.27  | 270  | 0.6226          |
| -2.262        | 0.28  | 280  | 0.6199          |
| -2.2931       | 0.29  | 290  | 0.6171          |
| -2.0241       | 0.3   | 300  | 0.6145          |
| -2.1599       | 0.31  | 310  | 0.6119          |
| -2.2971       | 0.32  | 320  | 0.6108          |
| -2.167        | 0.33  | 330  | 0.6092          |
| -2.1164       | 0.34  | 340  | 0.6080          |
| -2.1552       | 0.35  | 350  | 0.6072          |
| -2.1538       | 0.36  | 360  | 0.6046          |
| -2.0819       | 0.37  | 370  | 0.6030          |
| -2.1029       | 0.38  | 380  | 0.6009          |
| -2.3315       | 0.39  | 390  | 0.6007          |
| -2.1264       | 0.4   | 400  | 0.5993          |
| -2.1951       | 0.41  | 410  | 0.5982          |
| -2.1331       | 0.42  | 420  | 0.5970          |
| -2.0456       | 0.43  | 430  | 0.5950          |
| -2.0306       | 0.44  | 440  | 0.5931          |
| -2.1779       | 0.45  | 450  | 0.5931          |
| -2.3273       | 0.46  | 460  | 0.5939          |
| -2.1638       | 0.47  | 470  | 0.5912          |
| -2.319        | 0.48  | 480  | 0.5897          |
| -2.3439       | 0.49  | 490  | 0.5891          |
| -2.1683       | 0.5   | 500  | 0.5877          |
| -2.2591       | 0.51  | 510  | 0.5862          |
| -2.2144       | 0.52  | 520  | 0.5857          |
| -2.2421       | 0.53  | 530  | 0.5850          |
| -2.1114       | 0.54  | 540  | 0.5849          |
| -2.3897       | 0.55  | 550  | 0.5844          |
| -2.0635       | 0.56  | 560  | 0.5835          |
| -2.027        | 0.57  | 570  | 0.5832          |
| -2.3047       | 0.58  | 580  | 0.5820          |
| -2.1517       | 0.59  | 590  | 0.5811          |
| -2.3209       | 0.6   | 600  | 0.5804          |
| -2.1742       | 0.61  | 610  | 0.5786          |
| -2.1789       | 0.62  | 620  | 0.5781          |
| -2.1169       | 0.63  | 630  | 0.5771          |
| -1.9847       | 0.64  | 640  | 0.5766          |
| -2.2595       | 0.65  | 650  | 0.5774          |
| -2.3232       | 0.66  | 660  | 0.5769          |
| -2.1872       | 0.67  | 670  | 0.5765          |


### 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", "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
=============================


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: 0.5765


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