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# lmgym-ttyl-v3

This model is a fine-tuned version of [PygmalionAI/pygmalion-6b](https://huggingface.co/PygmalionAI/pygmalion-6b) on the dataset based on book "ttyl" by Lauren Myracle, and impersonates SnowAngel character.
It achieves the following results on the evaluation set:
- Loss: 1.6201
- Accuracy: 0.6465
- Entropy: 1.6037

## Model description

More information needed

### Dialog prompt
```
SnowAngel's Persona: Hi, I'm Angela, or SnowAngel. I'm a loyal friend, a hopeless romantic, and a big sister who values family despite occasional squabbles. I strive to radiate warmth, just like a cozy winter's night.
<START>
SnowAngel: Hi, I'm Angela
You: how you're doing?
SnowAngel: i’m good! u know what the best part of being human is?
You: what?
SnowAngel: that we can be friends with each other even when our lives are totally different.
You:
```

## 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: 2
- eval_batch_size: 8
- seed: 99
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Entropy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
| 4.7657        | 0.15  | 10   | 4.3633          | 0.3131   | 3.7152  |
| 3.7159        | 0.3   | 20   | 3.4004          | 0.3300   | 3.5522  |
| 2.3907        | 0.46  | 30   | 2.4492          | 0.5568   | 2.0288  |
| 2.2656        | 0.61  | 40   | 2.1504          | 0.5763   | 1.9151  |
| 1.804         | 0.76  | 50   | 1.9971          | 0.6101   | 1.7898  |
| 1.8259        | 0.91  | 60   | 1.8828          | 0.6158   | 1.8650  |
| 1.5859        | 1.06  | 70   | 1.7627          | 0.6341   | 1.7788  |
| 1.5974        | 1.21  | 80   | 1.7139          | 0.6346   | 1.7041  |
| 1.5026        | 1.37  | 90   | 1.6855          | 0.6390   | 1.6650  |
| 1.5165        | 1.52  | 100  | 1.6660          | 0.6409   | 1.6541  |
| 1.5306        | 1.67  | 110  | 1.6494          | 0.6425   | 1.6287  |
| 1.5761        | 1.82  | 120  | 1.6348          | 0.6448   | 1.6187  |
| 1.6017        | 1.97  | 130  | 1.6201          | 0.6465   | 1.6037  |

### 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": "lmgym-ttyl-v3", "results": []}]}
pytorch generated_from_trainer license:creativeml-openrail-m region:us
TAGS
#pytorch #generated_from_trainer #license-creativeml-openrail-m #region-us 

lmgym-ttyl-v3
=============


This model is a fine-tuned version of PygmalionAI/pygmalion-6b on the dataset based on book "ttyl" by Lauren Myracle, and impersonates SnowAngel character.
It achieves the following results on the evaluation set:


* Loss: 1.6201
* Accuracy: 0.6465
* Entropy: 1.6037


Model description
-----------------


More information needed


### Dialog prompt


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: 2
* eval\_batch\_size: 8
* seed: 99
* distributed\_type: multi-GPU
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 16
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.05
* num\_epochs: 2.0


### Training results



### Framework versions


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



### Dialog prompt


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: 2
* eval\_batch\_size: 8
* seed: 99
* distributed\_type: multi-GPU
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 16
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.05
* num\_epochs: 2.0 ### Training results ### Framework versions


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


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: 2
* eval\_batch\_size: 8
* seed: 99
* distributed\_type: multi-GPU
* gradient\_accumulation\_steps: 8
* total\_train\_batch\_size: 16
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_ratio: 0.05
* num\_epochs: 2.0 ### Training results ### Framework versions


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