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---
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 |