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# qlora-out

This model is a fine-tuned version of [jphme/em_german_7b_v01](https://huggingface.co/jphme/em_german_7b_v01) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2835

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5686        | 0.06  | 1    | 0.6308          |
| 0.5697        | 0.22  | 4    | 0.6109          |
| 0.3371        | 0.44  | 8    | 0.4420          |
| 0.3092        | 0.67  | 12   | 0.3820          |
| 0.3023        | 0.89  | 16   | 0.3220          |
| 0.2507        | 1.08  | 20   | 0.3038          |
| 0.2455        | 1.31  | 24   | 0.2920          |
| 0.1897        | 1.53  | 28   | 0.2886          |
| 0.2211        | 1.75  | 32   | 0.2932          |
| 0.2183        | 1.97  | 36   | 0.2884          |
| 0.1684        | 2.18  | 40   | 0.2879          |
| 0.1808        | 2.4   | 44   | 0.2837          |
| 0.1659        | 2.62  | 48   | 0.2783          |
| 0.1899        | 2.85  | 52   | 0.2774          |
| 0.1584        | 3.04  | 56   | 0.2756          |
| 0.1427        | 3.26  | 60   | 0.2801          |
| 0.1521        | 3.49  | 64   | 0.2813          |
| 0.1393        | 3.71  | 68   | 0.2821          |
| 0.1334        | 3.93  | 72   | 0.2835          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16

### Framework versions


- PEFT 0.6.0

{"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "jphme/em_german_7b_v01", "model-index": [{"name": "qlora-out", "results": []}]}
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