---
library_name: peft
base_model: EleutherAI/pythia-14m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 69b7eea5-e651-4261-bbe7-dff9a84f0402
  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: qlora
base_model: EleutherAI/pythia-14m
bf16: auto
chat_template: llama3
dataloader_num_workers: 6
dataset_prepared_path: null
datasets:
- data_files:
  - 802c9640ea62abdd_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/802c9640ea62abdd_train_data.json
  type:
    field_instruction: instruction
    field_output: output
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping:
  metric: eval_loss
  mode: min
  patience: 3
eval_max_new_tokens: 128
eval_steps: 20
eval_table_size: null
evals_per_epoch: null
flash_attention: false
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 16
gradient_checkpointing: true
group_by_length: true
hub_model_id: error577/69b7eea5-e651-4261-bbe7-dff9a84f0402
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0003
load_in_4bit: true
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 64
lora_dropout: 0.3
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_grad_norm: 1.0
max_steps: 300
micro_batch_size: 1
mlflow_experiment_name: /tmp/802c9640ea62abdd_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 50
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: 20
sequence_len: 512
special_tokens:
  pad_token: <|endoftext|>
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.02
wandb_entity: null
wandb_mode: online
wandb_name: 8ea0398e-a0bd-403d-bf23-7a1713ec2e02
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 8ea0398e-a0bd-403d-bf23-7a1713ec2e02
warmup_steps: 10
weight_decay: 0.01
xformers_attention: null

```

</details><br>

# 69b7eea5-e651-4261-bbe7-dff9a84f0402

This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.7804

## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 10
- training_steps: 300

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 118.0917      | 0.0007 | 1    | 15.7435         |
| 91.0717       | 0.0132 | 20   | 15.4725         |
| 220.4361      | 0.0264 | 40   | 16.9799         |
| 119.3659      | 0.0396 | 60   | 16.1753         |
| 194.2475      | 0.0528 | 80   | 21.7871         |
| 116.0362      | 0.0660 | 100  | 9.9620          |
| 89.6598       | 0.0792 | 120  | 12.7886         |
| 101.8808      | 0.0924 | 140  | 10.7512         |
| 98.0636       | 0.1056 | 160  | 11.3606         |
| 257.9727      | 0.1189 | 180  | 9.8128          |
| 118.2566      | 0.1321 | 200  | 8.8693          |
| 88.1685       | 0.1453 | 220  | 9.6910          |
| 89.4133       | 0.1585 | 240  | 8.8560          |
| 92.8052       | 0.1717 | 260  | 8.8088          |
| 316.9688      | 0.1849 | 280  | 8.8240          |
| 106.2684      | 0.1981 | 300  | 8.7804          |


### Framework versions

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