File size: 1,327 Bytes
8d146e9
 
 
 
 
 
6764af2
 
8d146e9
 
 
 
 
 
 
 
6764af2
8d146e9
 
 
6764af2
8d146e9
 
 
6764af2
8d146e9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6764af2
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
---
tags:
- generated_from_trainer
model-index:
- name: airo-lora-out
  results: []
datasets:
- unalignment/spicy-3.1
---

<!-- 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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# airo-lora-out

This model fine-tuned on Spicyboros-3.1 dataset from the Yi-34B-Llama model.

## Model description

Base model [Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama)

## Intended uses & limitations

See Yi license

## Training and evaluation data

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1