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# EnabledChat-v2-lora

This model is a fine-tuned version of [0x70DA/EnabledChat](https://huggingface.co/0x70DA/EnabledChat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2828

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3247        | 0.07  | 200  | 1.3711          |
| 1.4053        | 0.14  | 400  | 1.3470          |
| 1.3431        | 0.21  | 600  | 1.3355          |
| 1.4012        | 0.27  | 800  | 1.3278          |
| 1.3189        | 0.34  | 1000 | 1.3235          |
| 1.3581        | 0.41  | 1200 | 1.3181          |
| 1.3417        | 0.48  | 1400 | 1.3138          |
| 1.3111        | 0.55  | 1600 | 1.3110          |
| 1.3547        | 0.62  | 1800 | 1.3068          |
| 1.3725        | 0.68  | 2000 | 1.3058          |
| 1.3574        | 0.75  | 2200 | 1.3028          |
| 1.3773        | 0.82  | 2400 | 1.2999          |
| 1.2944        | 0.89  | 2600 | 1.2979          |
| 1.2433        | 0.96  | 2800 | 1.2962          |
| 1.2349        | 1.03  | 3000 | 1.2952          |
| 1.3126        | 1.1   | 3200 | 1.2934          |
| 1.284         | 1.16  | 3400 | 1.2925          |
| 1.2194        | 1.23  | 3600 | 1.2912          |
| 1.2885        | 1.3   | 3800 | 1.2902          |
| 1.2159        | 1.37  | 4000 | 1.2888          |
| 1.2832        | 1.44  | 4200 | 1.2881          |
| 1.2233        | 1.51  | 4400 | 1.2868          |
| 1.2565        | 1.57  | 4600 | 1.2857          |
| 1.2618        | 1.64  | 4800 | 1.2855          |
| 1.3954        | 1.71  | 5000 | 1.2846          |
| 1.3082        | 1.78  | 5200 | 1.2840          |
| 1.3149        | 1.85  | 5400 | 1.2834          |
| 1.2558        | 1.92  | 5600 | 1.2830          |
| 1.2299        | 1.98  | 5800 | 1.2828          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "other", "tags": ["generated_from_trainer"], "model-index": [{"name": "EnabledChat-v2-lora", "results": []}]}
pytorch tensorboard generated_from_trainer license:other region:us
TAGS
#pytorch #tensorboard #generated_from_trainer #license-other #region-us 

EnabledChat-v2-lora
===================


This model is a fine-tuned version of 0x70DA/EnabledChat on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.2828


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: 2
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.29.2
* 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: 2
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#pytorch #tensorboard #generated_from_trainer #license-other #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: 2
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0
* Datasets 2.11.0
* Tokenizers 0.13.3