safetensors generated_from_trainer base_model:TheBloke/Xwin-LM-70B-V0.1-GPTQ license:llama2 region:us
---
license: llama2
base_model: TheBloke/Xwin-LM-70B-V0.1-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Xwin70b_fans
  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. -->

# Xwin70b_fans

This model is a fine-tuned version of [TheBloke/Xwin-LM-70B-V0.1-GPTQ](https://huggingface.co/TheBloke/Xwin-LM-70B-V0.1-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0073

## 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: 0.0004
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 120
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8351        | 0.02  | 10   | 1.4544          |
| 1.2903        | 0.04  | 20   | 1.2835          |
| 1.1891        | 0.07  | 30   | 1.1606          |
| 1.0652        | 0.09  | 40   | 1.1180          |
| 1.0889        | 0.11  | 50   | 1.0877          |
| 1.0931        | 0.13  | 60   | 1.0617          |
| 0.981         | 0.15  | 70   | 1.0435          |
| 0.9941        | 0.17  | 80   | 1.0276          |
| 0.9802        | 0.2   | 90   | 1.0218          |
| 1.1242        | 0.22  | 100  | 1.0135          |
| 1.0687        | 0.24  | 110  | 1.0111          |
| 0.9263        | 0.26  | 120  | 1.0073          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
