---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: sutra_ai_eli5_clm-model
  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. -->

# sutra_ai_eli5_clm-model

This model is a fine-tuned version of [](https://huggingface.co/) on the eli5_category dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3272

## 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
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4954        | 1.0   | 1275 | 1.0247          |
| 0.6187        | 2.0   | 2550 | 0.5819          |
| 0.4296        | 3.0   | 3825 | 0.4215          |
| 0.3121        | 4.0   | 5100 | 0.3497          |
| 0.2738        | 5.0   | 6375 | 0.3272          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2