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# 6b-gpteacher-role-play-chatml-10epoch

This model is a fine-tuned version of [PygmalionAI/pygmalion-6b](https://huggingface.co/PygmalionAI/pygmalion-6b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9141
- Accuracy: 0.1596
- Entropy: 1.7788

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 99
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Entropy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
| 2.0504        | 1.0   | 238  | 2.0176          | 0.1563   | 1.9978  |
| 1.8932        | 2.0   | 476  | 1.9707          | 0.1584   | 1.9182  |
| 1.8611        | 3.0   | 714  | 1.9473          | 0.1602   | 1.8831  |
| 1.8206        | 4.0   | 952  | 1.9307          | 0.1604   | 1.8725  |
| 1.7936        | 5.0   | 1190 | 1.9238          | 0.1613   | 1.8354  |
| 1.7823        | 6.0   | 1428 | 1.9189          | 0.1618   | 1.8175  |
| 1.7742        | 7.0   | 1666 | 1.9150          | 0.1615   | 1.8082  |
| 1.762         | 8.0   | 1904 | 1.9141          | 0.1605   | 1.8145  |
| 1.7437        | 9.0   | 2142 | 1.9160          | 0.1604   | 1.7750  |
| 1.7358        | 10.0  | 2380 | 1.9141          | 0.1596   | 1.7788  |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.3

{"license": "creativeml-openrail-m", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "6b-gpteacher-role-play-chatml-10epoch", "results": []}]}
pytorch tensorboard generated_from_trainer license:creativeml-openrail-m region:us
TAGS
#pytorch #tensorboard #generated_from_trainer #license-creativeml-openrail-m #region-us 

6b-gpteacher-role-play-chatml-10epoch
=====================================


This model is a fine-tuned version of PygmalionAI/pygmalion-6b on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.9141
* Accuracy: 0.1596
* Entropy: 1.7788


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: 1e-05
* train\_batch\_size: 4
* eval\_batch\_size: 8
* seed: 99
* distributed\_type: multi-GPU
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 8
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.03
* num\_epochs: 10.0


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu117
* Datasets 2.7.1
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 4
* eval\_batch\_size: 8
* seed: 99
* distributed\_type: multi-GPU
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 8
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.03
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu117
* Datasets 2.7.1
* Tokenizers 0.13.3
TAGS
#pytorch #tensorboard #generated_from_trainer #license-creativeml-openrail-m #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 4
* eval\_batch\_size: 8
* seed: 99
* distributed\_type: multi-GPU
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 8
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.03
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu117
* Datasets 2.7.1
* Tokenizers 0.13.3