peft safetensors generated_from_trainer base_model:LDCC/LDCC-SOLAR-10.7B license:cc-by-nc-4.0 region:us
---
license: cc-by-nc-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: LDCC/LDCC-SOLAR-10.7B
model-index:
- name: LDCC-finetuning
  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. -->

# LDCC-finetuning

This model is a fine-tuned version of [LDCC/LDCC-SOLAR-10.7B](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6884

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7581        | 1.0   | 21   | 0.7133          |
| 0.612         | 2.0   | 42   | 0.6810          |
| 0.4944        | 3.0   | 63   | 0.6884          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2