---
library_name: peft
license: apache-2.0
base_model: llamafactory/tiny-random-Llama-3
tags:
- axolotl
- generated_from_trainer
model-index:
- name: cbcb9ea7-77b5-40fd-baaf-f3a66d36d225
  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: llamafactory/tiny-random-Llama-3
bf16: true
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 212cea8e8d3699da_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/212cea8e8d3699da_train_data.json
  type:
    field_input: doc
    field_instruction: original_text
    field_output: edited_summary
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: null
eval_max_new_tokens: 256
eval_table_size: null
evals_per_epoch: 4
flash_attention: false
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 32
gradient_checkpointing: true
group_by_length: false
hub_model_id: eddysang/cbcb9ea7-77b5-40fd-baaf-f3a66d36d225
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.00015
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 3
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
lr_scheduler: cosine
max_grad_norm: 2
max_steps: 100
micro_batch_size: 2
mlflow_experiment_name: /tmp/212cea8e8d3699da_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optim_args:
  adam_beta1: 0.9
  adam_beta2: 0.95
  adam_epsilon: 1.0e-05
optimizer: adamw_torch
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
saves_per_epoch: 4
sequence_len: 2048
special_tokens:
  pad_token: <|eot_id|>
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: yaudayah0
wandb_mode: online
wandb_name: b1daaa76-ce91-488a-8876-44fa4641b938
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: b1daaa76-ce91-488a-8876-44fa4641b938
warmup_steps: 20
weight_decay: 0.02
xformers_attention: false

```

</details><br>

# cbcb9ea7-77b5-40fd-baaf-f3a66d36d225

This model is a fine-tuned version of [llamafactory/tiny-random-Llama-3](https://huggingface.co./llamafactory/tiny-random-Llama-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.7350

## 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: 0.00015
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0167 | 1    | 11.7636         |
| 11.7637       | 0.1501 | 9    | 11.7632         |
| 11.7614       | 0.3002 | 18   | 11.7618         |
| 11.7598       | 0.4502 | 27   | 11.7591         |
| 11.7557       | 0.6003 | 36   | 11.7550         |
| 11.75         | 0.7504 | 45   | 11.7490         |
| 11.7445       | 0.9005 | 54   | 11.7427         |
| 11.7571       | 1.0511 | 63   | 11.7384         |
| 11.7745       | 1.2011 | 72   | 11.7363         |
| 11.8078       | 1.3512 | 81   | 11.7354         |
| 11.6771       | 1.5013 | 90   | 11.7350         |
| 11.6701       | 1.6514 | 99   | 11.7350         |


### Framework versions

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