---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w
model-index:
- name: oncology
  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. -->

# oncology

This model is a fine-tuned version of [content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w](https://huggingface.co/content/drive/MyDrive/LLaMA-Factory/saves/Yi-6B-Chat/lora/lora_8bit_20w) on the oncology_train_raw dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6397

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7882        | 0.32  | 200  | 1.7318          |
| 1.604         | 0.64  | 400  | 1.7021          |
| 1.706         | 0.96  | 600  | 1.6814          |
| 1.5361        | 1.28  | 800  | 1.6756          |
| 1.5625        | 1.6   | 1000 | 1.6565          |
| 1.606         | 1.91  | 1200 | 1.6396          |
| 1.4462        | 2.23  | 1400 | 1.6514          |
| 1.3236        | 2.55  | 1600 | 1.6478          |
| 1.4728        | 2.87  | 1800 | 1.6453          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2