---
library_name: peft
base_model: samoline/61c6c5e7-9a3f-4baf-a3d1-7e8c1cdf6db5
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 5448e33b-f327-4e37-a3c2-fc439ccc1502
  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: `0.12.0.dev0`
```yaml
adapter: lora
base_model: samoline/61c6c5e7-9a3f-4baf-a3d1-7e8c1cdf6db5
bf16: true
datasets:
- data_files:
  - d972e8dc9b2944f4_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/
  type:
    field_input: input
    field_instruction: instruct
    field_output: output
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
eval_max_new_tokens: 128
evals_per_epoch: 4
flash_attention: false
fp16: false
gradient_accumulation_steps: 1
gradient_checkpointing: true
group_by_length: true
hf_upload_public: true
hf_upload_repo_type: model
hub_model_id: segopecelus/5448e33b-f327-4e37-a3c2-fc439ccc1502
learning_rate: 0.0002
load_in_4bit: false
logging_steps: 10
lora_alpha: 32
lora_dropout: 0.15
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
loraplus_lr_embedding: 1.0e-06
loraplus_lr_ratio: 16
lr_scheduler: cosine
max_steps: 2851
micro_batch_size: 60
mlflow_experiment_name: /tmp/d972e8dc9b2944f4_train_data.json
model_card: false
optimizer: adamw_torch_fused
output_dir: miner_id_24
push_to_hub: true
rl: null
sample_packing: true
save_steps: 427
sequence_len: 2048
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: true
trl: null
trust_remote_code: true
wandb_name: ae146312-4dc7-4579-8bc7-4e7554e8bdbe
wandb_project: Gradients-On-Demand
wandb_run: apriasmoro
wandb_runid: ae146312-4dc7-4579-8bc7-4e7554e8bdbe
warmup_steps: 285
weight_decay: 0.02

```

</details><br>

# 5448e33b-f327-4e37-a3c2-fc439ccc1502

This model is a fine-tuned version of [samoline/61c6c5e7-9a3f-4baf-a3d1-7e8c1cdf6db5](https://huggingface.co/samoline/61c6c5e7-9a3f-4baf-a3d1-7e8c1cdf6db5) on an unknown dataset.

## 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: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 285
- training_steps: 2851

### Training results



### Framework versions

- PEFT 0.15.2
- Transformers 4.53.1
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2