---
license: apache-2.0
base_model: EleutherAI/pythia-1b-deduped
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rm_hh_1b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rm_hh_1b

This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co./EleutherAI/pythia-1b-deduped) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6145
- Accuracy: 0.6498

## 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: 3e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6475        | 0.4789 | 300  | 0.6355          | 0.6317   |
| 0.6111        | 0.9577 | 600  | 0.6145          | 0.6498   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1