File size: 2,017 Bytes
73d2fcc
 
 
 
 
 
475f1a2
 
73d2fcc
 
 
 
 
 
 
 
 
 
 
475f1a2
9cd2731
 
 
 
 
 
73d2fcc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9cd2731
 
 
 
 
 
 
73d2fcc
 
 
 
 
475f1a2
73d2fcc
 
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
70
---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-dialoguSum_Solar_koen
  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. -->

# flan-t5-base-dialoguSum_Solar_koen

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8520
- Rouge1: 11.9395
- Rouge2: 3.75
- Rougel: 10.3395
- Rougelsum: 11.9395
- Gen Len: 13.0

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 5    | 2.9176          | 9.0824  | 3.75   | 9.0824  | 9.0824    | 11.6    |
| No log        | 2.0   | 10   | 2.8520          | 11.9395 | 3.75   | 10.3395 | 11.9395   | 13.0    |
| No log        | 3.0   | 15   | 2.8061          | 11.9395 | 3.75   | 10.3395 | 11.9395   | 13.0    |
| No log        | 4.0   | 20   | 2.7792          | 7.3071  | 0.0    | 5.7     | 7.3071    | 16.2    |
| No log        | 5.0   | 25   | 2.7691          | 10.1643 | 0.0    | 7.7381  | 10.1643   | 15.8    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1