

Based on [LLaMA 13B](https://huggingface.co/yahma/llama-13b-hf).

Trained on 4 LoRA modules.

Parameters:

```
{
  "base_model_name_or_path": "./llama-30b-hf",
  "bias": "none",
  "enable_lora": null,
  "fan_in_fan_out": false,
  "inference_mode": true,
  "lora_alpha": 16,
  "lora_dropout": 0.05,
  "merge_weights": false,
  "modules_to_save": null,
  "peft_type": "LORA",
  "r": 16,
  "target_modules": [
    "q_proj",
    "v_proj",
    "k_proj",
    "o_proj"
  ],
  "task_type": "CAUSAL_LM"
}
```
Cutoff length set to 512


```
Prompt template:

{
    "description": "A shorter template to experiment with.",
    "prompt_input": "### Задание:\n{instruction}\n\n### Вход:\n{input}\n\n### Ответ:\n",
    "prompt_no_input": "### Задание:\n{instruction}\n\n### Ответ:\n",
    "response_split": "### Ответ:"    
}
```

[WandB report](https://wandb.ai/lksy/huggingface/runs/oj1ezptd)

Epochs: 4

Loss: 0.853

{"language": ["ru"], "datasets": ["yahma/alpaca_cleaned", "lksy/ru_instruct_gpt4"], "pipeline_tag": "text2text-generation", "inference": false}
text2text-generation ru dataset:yahma/alpaca_cleaned dataset:lksy/ru_instruct_gpt4 region:us
TAGS
#text2text-generation #ru #dataset-yahma/alpaca_cleaned #dataset-lksy/ru_instruct_gpt4 #region-us 



Based on LLaMA 13B.

Trained on 4 LoRA modules.

Parameters:


Cutoff length set to 512




WandB report

Epochs: 4

Loss: 0.853

TAGS
#text2text-generation #ru #dataset-yahma/alpaca_cleaned #dataset-lksy/ru_instruct_gpt4 #region-us 

TAGS
#text2text-generation #ru #dataset-yahma/alpaca_cleaned #dataset-lksy/ru_instruct_gpt4 #region-us 
