---
license: apache-2.0
base_model: mnoukhov/pythia160m-sft-tldr
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pythia160m-rm-tldr6.9b
  results: []
---

<!-- 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. -->

# pythia160m-rm-tldr6.9b

This model is a fine-tuned version of [mnoukhov/pythia160m-sft-tldr](https://huggingface.co/mnoukhov/pythia160m-sft-tldr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5486
- Accuracy: 0.7121

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.2012 | 73   | 0.5667          | 0.6998   |
| 0.6204        | 0.4025 | 146  | 0.5560          | 0.7120   |
| 0.5593        | 0.6037 | 219  | 0.5532          | 0.7078   |
| 0.5593        | 0.8050 | 292  | 0.5486          | 0.7121   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1