---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mnoukhov/pythia410m-sft-tldr
model-index:
- name: pythia410m-test-tldr
  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. -->

# pythia410m-test-tldr

This model is a fine-tuned version of [mnoukhov/pythia410m-sft-tldr](https://huggingface.co/mnoukhov/pythia410m-sft-tldr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6766
- Rewards/chosen: 0.0321
- Rewards/rejected: -0.0032
- Rewards/accuracies: 0.7656
- Rewards/margins: 0.0353
- Logps/rejected: -103.6910
- Logps/chosen: -103.6910
- Logps/ref Rejected: -82.9119
- Logps/ref Chosen: -104.3332

## 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-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logps/ref Rejected | Logps/ref Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:----------------:|
| No log        | 0.5   | 4    | 0.6336          | 0.1889         | 0.0621           | 0.7656             | 0.1268          | -100.5552      | -100.5552    | -82.9119           | -104.3332        |
| No log        | 1.0   | 8    | 0.6766          | 0.0321         | -0.0032          | 0.7656             | 0.0353          | -103.6910      | -103.6910    | -82.9119           | -104.3332        |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1