---
library_name: peft
license: cc-by-sa-4.0
base_model: defog/sqlcoder-7b-2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 0500d330-04bb-4f34-8098-fa82b37d034e
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: defog/sqlcoder-7b-2
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 996120a1458c75c0_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/996120a1458c75c0_train_data.json
  type:
    field_input: chosen
    field_instruction: prompt
    field_output: rejected
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
device_map: auto
do_eval: true
early_stopping_patience: 3
eval_batch_size: 4
eval_max_new_tokens: 128
eval_steps: 300
eval_table_size: null
evals_per_epoch: null
flash_attention: true
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: false
group_by_length: true
hub_model_id: robiulawaldev/0500d330-04bb-4f34-8098-fa82b37d034e
hub_strategy: end
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 50
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: constant
max_grad_norm: 1.0
max_memory:
  0: 75GB
max_steps: 8884
micro_batch_size: 4
mlflow_experiment_name: /tmp/996120a1458c75c0_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 10
optim_args:
  adam_beta1: 0.9
  adam_beta2: 0.95
  adam_epsilon: 1e-5
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 300
saves_per_epoch: null
sequence_len: 512
special_tokens:
  pad_token: </s>
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: 1516f5b9-e950-43d8-b8e5-89b1b7b87690
wandb_project: SN56-36
wandb_run: your_name
wandb_runid: 1516f5b9-e950-43d8-b8e5-89b1b7b87690
warmup_steps: 50
weight_decay: 0.0
xformers_attention: null

```

</details><br>

# 0500d330-04bb-4f34-8098-fa82b37d034e

This model is a fine-tuned version of [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6436

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 8884

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0003 | 1    | 0.9930          |
| 0.6963        | 0.0819 | 300  | 0.7392          |
| 0.6672        | 0.1639 | 600  | 0.7069          |
| 0.6857        | 0.2458 | 900  | 0.6906          |
| 0.6471        | 0.3277 | 1200 | 0.6816          |
| 0.663         | 0.4097 | 1500 | 0.6697          |
| 0.6423        | 0.4916 | 1800 | 0.6693          |
| 0.649         | 0.5735 | 2100 | 0.6612          |
| 0.6386        | 0.6555 | 2400 | 0.6559          |
| 0.623         | 0.7374 | 2700 | 0.6499          |
| 0.6216        | 0.8193 | 3000 | 0.6462          |
| 0.6363        | 0.9013 | 3300 | 0.6501          |
| 0.6333        | 0.9832 | 3600 | 0.6404          |
| 0.5435        | 1.0651 | 3900 | 0.6415          |
| 0.5375        | 1.1471 | 4200 | 0.6323          |
| 0.5575        | 1.2290 | 4500 | 0.6342          |
| 0.5651        | 1.3109 | 4800 | 0.6326          |
| 0.5408        | 1.3929 | 5100 | 0.6281          |
| 0.5521        | 1.4748 | 5400 | 0.6309          |
| 0.5557        | 1.5567 | 5700 | 0.6316          |
| 0.5502        | 1.6387 | 6000 | 0.6255          |
| 0.5558        | 1.7206 | 6300 | 0.6257          |
| 0.5438        | 1.8025 | 6600 | 0.6208          |
| 0.5485        | 1.8845 | 6900 | 0.6270          |
| 0.5442        | 1.9664 | 7200 | 0.6258          |
| 0.4385        | 2.0483 | 7500 | 0.6436          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1