File size: 1,259 Bytes
8c80b7f
8fb5db0
ab14d4d
8fb5db0
 
 
 
 
 
 
 
 
8c80b7f
 
8fb5db0
 
8c80b7f
8fb5db0
8c80b7f
8fb5db0
8c80b7f
8fb5db0
8c80b7f
8fb5db0
8c80b7f
8fb5db0
8c80b7f
8fb5db0
8c80b7f
8fb5db0
8c80b7f
ab14d4d
8c80b7f
8fb5db0
8c80b7f
8fb5db0
8c80b7f
8fb5db0
 
ab14d4d
8fb5db0
 
 
ab14d4d
8fb5db0
ab14d4d
8fb5db0
 
8c80b7f
8fb5db0
8c80b7f
ab14d4d
8c80b7f
 
 
8fb5db0
 
 
ab14d4d
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
56
57
58
59
60
---
license: other
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: Llama-3-8B-Instruct-spider
  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. -->

# Llama-3-8B-Instruct-spider

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2