---
license: llama2
base_model: Xwin-LM/Xwin-LM-13B-V0.2
tags:
- generated_from_trainer
model-index:
- name: Yi_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. -->

# Yi_fans

This model is a fine-tuned version of [Xwin-LM/Xwin-LM-13B-V0.2](https://huggingface.co/Xwin-LM/Xwin-LM-13B-V0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0715

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7447        | 0.02  | 10   | 2.3455          |
| 1.9979        | 0.04  | 20   | 1.9817          |
| 1.6621        | 0.07  | 30   | 1.4316          |
| 1.3525        | 0.09  | 40   | 1.3135          |
| 1.312         | 0.11  | 50   | 1.2386          |
| 1.243         | 0.13  | 60   | 1.1874          |
| 1.084         | 0.15  | 70   | 1.1472          |
| 1.1409        | 0.17  | 80   | 1.1229          |
| 1.1093        | 0.2   | 90   | 1.1000          |
| 1.0783        | 0.22  | 100  | 1.0889          |
| 1.0253        | 0.24  | 110  | 1.0776          |
| 1.1132        | 0.26  | 120  | 1.0715          |


### Framework versions

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