File size: 1,620 Bytes
e7eafdc
 
 
 
39bf46e
e7eafdc
 
 
 
 
 
 
 
 
 
 
 
2eb1f2b
e7eafdc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9787ea3
 
e7eafdc
 
 
 
 
2eb1f2b
 
 
 
 
 
e7eafdc
 
 
 
9787ea3
e7eafdc
 
 
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
---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/bart-large
model-index:
- name: bart-finetuned-loaf-512-lyrictoplan
  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-finetuned-loaf-512-lyrictoplan

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3763

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6537        | 0.45  | 500  | 0.4515          |
| 0.4607        | 0.89  | 1000 | 0.4250          |
| 0.4233        | 1.34  | 1500 | 0.4119          |
| 0.41          | 1.78  | 2000 | 0.3935          |
| 0.379         | 2.23  | 2500 | 0.3888          |
| 0.3549        | 2.67  | 3000 | 0.3763          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2