---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- eli5
metrics:
- accuracy
model-index:
- name: layer_9,10,11,12,13
  results:
  - task:
      type: text-generation
      name: Causal Language Modeling
    dataset:
      name: eli5
      type: eli5
      split: None
    metrics:
    - type: accuracy
      value: 0.49515362035225047
      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_9,10,11,12,13

This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co/EleutherAI/pythia-1b-deduped) on the eli5 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4496
- Accuracy: 0.4952

## 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: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.3186        | 5.93  | 200  | 4.3850          | 0.1399   |
| 2.7653        | 11.85 | 400  | 2.7820          | 0.4294   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+rocm5.4.2
- Datasets 2.11.0
- Tokenizers 0.13.3


## Wandb Report
 https://wandb.ai/ontocord/jason-test-pythia-1b-deduped-layer-test-eli5/runs/eecbe79c