---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct-1M
tags:
- generated_from_trainer
model-index:
- name: usgpt-ft
  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. -->

# usgpt-ft

This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.9321

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 11.8582       | 1.0     | 4    | 11.9321         |
| 11.857        | 2.0     | 8    | 11.9321         |
| 11.8625       | 3.0     | 12   | 11.9321         |
| 11.8615       | 4.0     | 16   | 11.9321         |
| 11.8576       | 5.0     | 20   | 11.9321         |
| 11.8603       | 6.0     | 24   | 11.9321         |
| 11.8671       | 7.0     | 28   | 11.9321         |
| 11.8587       | 8.0     | 32   | 11.9321         |
| 11.8577       | 9.0     | 36   | 11.9321         |
| 11.8578       | 10.0    | 40   | 11.9321         |
| 11.866        | 11.0    | 44   | 11.9321         |
| 11.8586       | 12.0    | 48   | 11.9321         |
| 11.8643       | 13.0    | 52   | 11.9321         |
| 11.8563       | 14.0    | 56   | 11.9321         |
| 11.8659       | 15.0    | 60   | 11.9321         |
| 11.8603       | 16.0    | 64   | 11.9321         |
| 11.8641       | 17.0    | 68   | 11.9321         |
| 11.8656       | 18.0    | 72   | 11.9321         |
| 11.8591       | 19.0    | 76   | 11.9321         |
| 11.8576       | 20.0    | 80   | 11.9321         |
| 11.8685       | 21.0    | 84   | 11.9321         |
| 11.8668       | 22.0    | 88   | 11.9321         |
| 11.8662       | 23.0    | 92   | 11.9321         |
| 11.8658       | 24.0    | 96   | 11.9321         |
| 11.869        | 25.0    | 100  | 11.9321         |
| 11.8656       | 26.0    | 104  | 11.9321         |
| 11.8581       | 27.0    | 108  | 11.9321         |
| 11.8575       | 28.0    | 112  | 11.9321         |
| 11.8587       | 29.0    | 116  | 11.9321         |
| 11.8571       | 30.0    | 120  | 11.9321         |
| 11.8612       | 31.0    | 124  | 11.9321         |
| 11.8662       | 32.0    | 128  | 11.9321         |
| 11.8636       | 33.0    | 132  | 11.9321         |
| 11.8593       | 34.0    | 136  | 11.9321         |
| 11.8571       | 35.0    | 140  | 11.9321         |
| 11.8644       | 36.0    | 144  | 11.9321         |
| 11.8594       | 37.0    | 148  | 11.9321         |
| 11.8645       | 37.6154 | 150  | 11.9321         |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0