---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: gpt-mqa-RoPE
  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. -->

# gpt-mqa-RoPE

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0885

## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 20
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 106
- training_steps: 1060
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.5007        | 0.0590 | 106  | 9.2225          |
| 7.6938        | 0.1179 | 212  | 7.6025          |
| 7.0385        | 0.1769 | 318  | 6.9495          |
| 6.6472        | 0.2359 | 424  | 6.5905          |
| 6.4123        | 0.2948 | 530  | 6.3711          |
| 6.2808        | 0.3538 | 636  | 6.2347          |
| 6.1927        | 0.4127 | 742  | 6.1516          |
| 6.1486        | 0.4717 | 848  | 6.1083          |
| 6.1331        | 0.5307 | 954  | 6.0914          |
| 6.1282        | 0.5896 | 1060 | 6.0885          |


### Framework versions

- Transformers 5.5.4
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2