---
tags:
- generated_from_trainer
datasets:
- pile-instruct/
metrics:
- accuracy
model-index:
- name: layer_4,5,6,7,8
  results:
  - task:
      type: text-generation
      name: Causal Language Modeling
    dataset:
      name: pile-instruct/
      type: pile-instruct/
      split: None
    metrics:
    - type: accuracy
      value: 0.20994595912408442
      name: Accuracy
---

<!-- 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. -->

# layer_4,5,6,7,8

This model is a fine-tuned version of [P1ayer-1/pythia-deduped-1b-chat-base](https://huggingface.co/P1ayer-1/pythia-deduped-1b-chat-base) on the pile-instruct/ dataset.
It achieves the following results on the evaluation set:
- Loss: 6.9437
- Accuracy: 0.2099

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 7.6017        | 0.02  | 200  | 7.5928          | 0.1605   |
| 7.1871        | 0.03  | 400  | 7.2690          | 0.1847   |
| 7.0356        | 0.05  | 600  | 7.0897          | 0.1980   |
| 6.93          | 0.07  | 800  | 6.9870          | 0.2064   |
| 6.9089        | 0.08  | 1000 | 6.9437          | 0.2099   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3


## Wandb Report
 https://wandb.ai/ontocord/pythia-1b-deduped-layer-test-min-pile-instruct/runs/6hvfd11h