safetensors generated_from_trainer base_model:yentinglin/Taiwan-LLM-7B-v2.0-chat license:apache-2.0 region:us
---
license: apache-2.0
base_model: yentinglin/Taiwan-LLM-7B-v2.0-chat
tags:
- generated_from_trainer
model-index:
- name: HW3_rank64_1e
  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. -->

# HW3_rank64_1e

This model is a fine-tuned version of [yentinglin/Taiwan-LLM-7B-v2.0-chat](https://huggingface.co/yentinglin/Taiwan-LLM-7B-v2.0-chat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1108

## 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3241        | 0.13  | 10   | 1.2605          |
| 1.1903        | 0.26  | 20   | 1.1887          |
| 1.1683        | 0.38  | 30   | 1.1593          |
| 1.1033        | 0.51  | 40   | 1.1416          |
| 1.1371        | 0.64  | 50   | 1.1228          |
| 1.0738        | 0.77  | 60   | 1.1150          |
| 1.0865        | 0.9   | 70   | 1.1108          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
