---
library_name: transformers
base_model: RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_bs256
  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. -->

# ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_bs256

This model is a fine-tuned version of [RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init](https://huggingface.co/RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4378
- Accuracy: 0.5028

## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 64
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| No log        | 0.0001 | 1     | 5.8817          | 0.3107   |
| 2.6109        | 0.1765 | 2000  | 2.4807          | 0.4971   |
| 2.5789        | 0.3531 | 4000  | 2.4562          | 0.5003   |
| 2.555         | 0.5296 | 6000  | 2.4452          | 0.5019   |
| 2.5558        | 0.7062 | 8000  | 2.4391          | 0.5025   |
| 2.5535        | 0.8827 | 10000 | 2.4378          | 0.5029   |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
- Datasets 2.18.0
- Tokenizers 0.20.1