File size: 1,860 Bytes
c64d4da
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
61
62
63
64
65
66
67
68
69
---
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-the-stack-bash
  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. -->

# santacoder-finetuned-the-stack-bash

This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3174

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6951        | 0.1   | 500  | 1.8041          |
| 1.69          | 0.2   | 1000 | 1.5214          |
| 1.3821        | 0.3   | 1500 | 1.5855          |
| 1.5861        | 0.4   | 2000 | 1.4657          |
| 1.6196        | 0.5   | 2500 | 1.4089          |
| 1.6839        | 0.6   | 3000 | 1.3801          |
| 1.3929        | 0.7   | 3500 | 1.3493          |
| 1.471         | 0.8   | 4000 | 1.3278          |
| 1.3222        | 0.9   | 4500 | 1.3203          |
| 1.4529        | 1.0   | 5000 | 1.3174          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3