---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: qwen/Qwen-72B-Chat
model-index:
- name: path_to_sft_checkpoint_eevalplusceval
  results: []
---

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

This model is a fine-tuned version of [qwen/Qwen-72B-Chat](qwen/Qwen-72B-Chat) on the e_eval dataset.

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1