---
library_name: transformers
base_model: hf-internal-testing/tiny-random-gptj
tags:
- generated_from_trainer
model-index:
- name: my_awesome_dataset_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. -->

# my_awesome_dataset_clm-model

This model is a fine-tuned version of [hf-internal-testing/tiny-random-gptj](https://huggingface.co/hf-internal-testing/tiny-random-gptj) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4845

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.8053        | 1.0   | 1239 | 5.4034          |
| 5.0105        | 2.0   | 2478 | 4.6993          |
| 4.4819        | 3.0   | 3717 | 4.4845          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1