---
tags:
- generated_from_trainer
datasets:
- postbot/multi-emails-hq
metrics:
- accuracy
model-index:
- name: pythia-160m-hq-emails-v4
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: postbot/multi-emails-hq
      type: postbot/multi-emails-hq
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.611281497151223
---

<!-- 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. -->

# pythia-160m-hq-emails-v4

This model is a fine-tuned version of [EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-160m-deduped) on the postbot/multi-emails-hq dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2856
- Accuracy: 0.6113

## 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: 0.0006
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.412         | 0.99  | 76   | 2.5027          | 0.5458   |
| 1.9702        | 1.99  | 152  | 2.2757          | 0.5850   |
| 1.4628        | 2.99  | 228  | 2.2162          | 0.6082   |
| 1.1662        | 3.99  | 304  | 2.2856          | 0.6113   |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.1