---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: multi-emails-hq-pythia-410m-deduped-r1
  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. -->

# multi-emails-hq-pythia-410m-deduped-r1

This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1018
- Accuracy: 0.6157

## 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: 8
- eval_batch_size: 2
- seed: 69
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3067        | 1.0   | 38   | 2.3559          | 0.5594   |
| 1.9243        | 2.0   | 76   | 2.1283          | 0.5975   |
| 1.5971        | 3.0   | 114  | 2.0759          | 0.6140   |
| 1.4139        | 4.0   | 152  | 2.1018          | 0.6157   |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 2.0.0.dev20230130+cu118
- Datasets 2.9.0
- Tokenizers 0.13.2