---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: /ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_4B
model-index:
- name: qwen_4B_d0_iter1_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. -->

# qwen_4B_d0_iter1_model

This model is a fine-tuned version of [/ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_4B](https://huggingface.co//ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_4B) on the qwen_4B_d0_iter1_model dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9073

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8416        | 1.9608 | 100  | 0.9073          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1