---
library_name: transformers
license: apache-2.0
base_model: EleutherAI/pythia-410m
tags:
- generated_from_trainer
model-index:
- name: EleutherAI-pythia-410m-finetuned-nvidia-faq
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/danielteam/eleutherai-nvidia-faq-fine-tuned/runs/cqo9dgc6)
# EleutherAI-pythia-410m-finetuned-nvidia-faq

This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2026

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adagrad and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2307        | 0.2813 | 50   | 0.2261          |
| 0.2178        | 0.5626 | 100  | 0.2179          |
| 0.213         | 0.8439 | 150  | 0.2135          |
| 0.1883        | 1.1294 | 200  | 0.2109          |
| 0.2153        | 1.4107 | 250  | 0.2091          |
| 0.2183        | 1.6920 | 300  | 0.2075          |
| 0.1855        | 1.9733 | 350  | 0.2063          |
| 0.1723        | 2.2588 | 400  | 0.2056          |
| 0.1971        | 2.5401 | 450  | 0.2050          |
| 0.1724        | 2.8214 | 500  | 0.2043          |
| 0.1954        | 3.1069 | 550  | 0.2038          |
| 0.169         | 3.3882 | 600  | 0.2035          |
| 0.1937        | 3.6695 | 650  | 0.2032          |
| 0.1786        | 3.9508 | 700  | 0.2029          |
| 0.2031        | 4.2363 | 750  | 0.2028          |
| 0.186         | 4.5176 | 800  | 0.2027          |
| 0.1797        | 4.7989 | 850  | 0.2026          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0