---
license: apache-2.0
library_name: peft
tags:
- axolotl
- generated_from_trainer
base_model: EleutherAI/pythia-410m-deduped
model-index:
- name: taopanda-2_bcc7097d-6c73-48e3-aaee-f9f854afb9b4
  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: EleutherAI/pythia-410m-deduped
bf16: auto
dataset_prepared_path: null
datasets:
- data_files:
  - 268406b2c8127f67_train_data.json
  ds_type: json
  format: custom
  path: 268406b2c8127f67_train_data.json
  type:
    field: null
    field_input: context
    field_instruction: instruction
    field_output: response
    field_system: null
    format: null
    no_input_format: null
    system_format: '{system}'
    system_prompt: ''
early_stopping_patience: null
evals_per_epoch: 4
gradient_accumulation_steps: 1
group_by_length: false
hub_model_id: FatCat87/taopanda-2_bcc7097d-6c73-48e3-aaee-f9f854afb9b4
learning_rate: 1.0e-05
load_in_8bit: true
local_rank: null
logging_steps: 1
lora_alpha: 32
lora_dropout: 0.05
lora_fan_in_fan_out: true
lora_model_dir: null
lora_r: 16
lora_target_linear: null
lora_target_modules:
- query_key_value
micro_batch_size: 4
num_epochs: 4
output_dir: ./outputs/lora-alpaca-pythia/taopanda-2_bcc7097d-6c73-48e3-aaee-f9f854afb9b4
resume_from_checkpoint: null
seed: 84664
sequence_len: 512
special_tokens:
  pad_token: <|endoftext|>
tf32: true
train_on_inputs: false
val_set_size: 0.05
wandb_entity: fatcat87-taopanda
wandb_log_model: null
wandb_mode: online
wandb_name: taopanda-2_bcc7097d-6c73-48e3-aaee-f9f854afb9b4
wandb_project: subnet56
wandb_runid: taopanda-2_bcc7097d-6c73-48e3-aaee-f9f854afb9b4
wandb_watch: null
weight_decay: 0.1

```

</details><br>

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/0tu4r381)
# taopanda-2_bcc7097d-6c73-48e3-aaee-f9f854afb9b4

This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2826

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 84664
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.7173        | 0.0006 | 1    | 2.8035          |
| 2.3948        | 0.2505 | 414  | 2.5510          |
| 2.6987        | 0.5009 | 828  | 2.4507          |
| 2.2231        | 0.7514 | 1242 | 2.3969          |
| 2.4612        | 1.0018 | 1656 | 2.3698          |
| 2.9173        | 1.2523 | 2070 | 2.3450          |
| 2.3121        | 1.5027 | 2484 | 2.3282          |
| 2.8931        | 1.7532 | 2898 | 2.3154          |
| 2.0185        | 2.0036 | 3312 | 2.3080          |
| 2.2114        | 2.2541 | 3726 | 2.2980          |
| 2.4148        | 2.5045 | 4140 | 2.2941          |
| 2.2134        | 2.7550 | 4554 | 2.2887          |
| 1.5517        | 3.0054 | 4968 | 2.2839          |
| 2.2136        | 3.2559 | 5382 | 2.2811          |
| 1.2004        | 3.5064 | 5796 | 2.2838          |
| 2.374         | 3.7568 | 6210 | 2.2826          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1