---
base_model: RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init
library_name: peft
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: ruadapt_qwen2.5_3B_ext_u48_full_lr3e4_peft_bs256_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ruadapt_qwen2.5_3B_ext_u48_full_lr3e4_peft_bs256_v2

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: 2.4070
- Accuracy: 0.5068

## 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: 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   |
| 2.5884        | 0.1765 | 2000  | 2.4509          | 0.5014   |
| 2.5525        | 0.3531 | 4000  | 2.4229          | 0.5046   |
| 2.5286        | 0.5296 | 6000  | 2.4123          | 0.5061   |
| 2.53          | 0.7062 | 8000  | 2.4078          | 0.5068   |
| 2.528         | 0.8827 | 10000 | 2.4070          | 0.5067   |


### Framework versions

- PEFT 0.9.0
- Transformers 4.45.2
- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
- Datasets 2.18.0
- Tokenizers 0.20.1