README.md

---
tags:
- generated_from_trainer
datasets:
- /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience
metrics:
- accuracy
model-index:
- name: layer_13,14,15
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience
      type: /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.27968436193888074
---

<!-- 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_13,14,15

This model is a fine-tuned version of [/pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/](https://huggingface.co//pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/) on the /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4570
- Accuracy: 0.2797

## 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: 24
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 6000

### Training results



### Framework versions

- Transformers 4.27.0
- Pytorch 1.12.1+gitcb6c422
- Datasets 2.11.0
- Tokenizers 0.13.3