---
library_name: transformers
license: apache-2.0
base_model: EleutherAI/pythia-160m
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- allenai/tulu-v2-sft-mixture
model-index:
- name: pythia-160m-tulu-v2-mix
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pythia-160m-tulu-v2-mix

This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on the allenai/tulu-v2-sft-mixture dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4481

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.9976        | 0.9999 | 2548 | 2.8137          |
| 2.5794        | 1.9998 | 5096 | 2.4651          |
| 2.5149        | 2.9997 | 7644 | 2.4481          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1