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# EnabledChat

This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1152

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2849        | 0.06  | 200  | 1.2346          |
| 1.2515        | 0.13  | 400  | 1.2077          |
| 1.1859        | 0.19  | 600  | 1.1948          |
| 1.2007        | 0.26  | 800  | 1.1845          |
| 1.2085        | 0.32  | 1000 | 1.1763          |
| 1.2036        | 0.38  | 1200 | 1.1710          |
| 1.2134        | 0.45  | 1400 | 1.1655          |
| 1.1869        | 0.51  | 1600 | 1.1610          |
| 1.2017        | 0.58  | 1800 | 1.1573          |
| 1.2139        | 0.64  | 2000 | 1.1537          |
| 1.1302        | 0.7   | 2200 | 1.1510          |
| 1.1799        | 0.77  | 2400 | 1.1480          |
| 1.1518        | 0.83  | 2600 | 1.1461          |
| 1.1752        | 0.9   | 2800 | 1.1434          |
| 1.1584        | 0.96  | 3000 | 1.1415          |
| 1.1311        | 1.02  | 3200 | 1.1400          |
| 1.1595        | 1.09  | 3400 | 1.1374          |
| 1.1721        | 1.15  | 3600 | 1.1365          |
| 1.1597        | 1.22  | 3800 | 1.1355          |
| 1.1718        | 1.28  | 4000 | 1.1335          |
| 1.1639        | 1.34  | 4200 | 1.1315          |
| 1.1448        | 1.41  | 4400 | 1.1312          |
| 1.1645        | 1.47  | 4600 | 1.1296          |
| 1.1562        | 1.54  | 4800 | 1.1282          |
| 1.1619        | 1.6   | 5000 | 1.1273          |
| 1.1794        | 1.66  | 5200 | 1.1270          |
| 1.178         | 1.73  | 5400 | 1.1254          |
| 1.1291        | 1.79  | 5600 | 1.1246          |
| 1.1235        | 1.86  | 5800 | 1.1234          |
| 1.1169        | 1.92  | 6000 | 1.1222          |
| 1.1494        | 1.98  | 6200 | 1.1214          |
| 1.1032        | 2.05  | 6400 | 1.1218          |
| 1.1269        | 2.11  | 6600 | 1.1207          |
| 1.1561        | 2.18  | 6800 | 1.1203          |
| 1.152         | 2.24  | 7000 | 1.1199          |
| 1.1335        | 2.3   | 7200 | 1.1191          |
| 1.1341        | 2.37  | 7400 | 1.1184          |
| 1.0963        | 2.43  | 7600 | 1.1180          |
| 1.1179        | 2.5   | 7800 | 1.1172          |
| 1.1176        | 2.56  | 8000 | 1.1170          |
| 1.15          | 2.62  | 8200 | 1.1165          |
| 1.073         | 2.69  | 8400 | 1.1164          |
| 1.1737        | 2.75  | 8600 | 1.1156          |
| 1.1251        | 2.82  | 8800 | 1.1156          |
| 1.1548        | 2.88  | 9000 | 1.1154          |
| 1.1046        | 2.94  | 9200 | 1.1152          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3
{"license": "other", "tags": ["generated_from_trainer"], "pipeline_tag": "text-generation", "model-index": [{"name": "EnabledChat", "results": []}]}
transformers pytorch opt text-generation generated_from_trainer license:other autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #opt #text-generation #generated_from_trainer #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

EnabledChat
===========


This model is a fine-tuned version of facebook/opt-1.3b on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1152


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: 0.0002
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 3
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.30.0.dev0
* Pytorch 2.0.0
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 3
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.30.0.dev0
* Pytorch 2.0.0
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #opt #text-generation #generated_from_trainer #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 3
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.30.0.dev0
* Pytorch 2.0.0
* Datasets 2.11.0
* Tokenizers 0.13.3