File size: 1,134 Bytes
694a9ba
a87643b
 
694a9ba
a87643b
694a9ba
a87643b
 
 
 
694a9ba
 
a87643b
 
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
694a9ba
a87643b
 
 
 
 
 
 
 
694a9ba
a87643b
694a9ba
 
a87643b
 
 
 
 
 
 
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
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- varun-v-rao/squad
model-index:
- name: bart-base-bn-adapter-895K-squad-model2
  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. -->

# bart-base-bn-adapter-895K-squad-model2

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the squad 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0