File size: 1,461 Bytes
3a3539d
99d84d3
 
 
 
 
 
 
 
3a3539d
 
99d84d3
 
3a3539d
99d84d3
3a3539d
99d84d3
 
 
3a3539d
99d84d3
3a3539d
99d84d3
3a3539d
99d84d3
3a3539d
99d84d3
3a3539d
99d84d3
3a3539d
99d84d3
3a3539d
99d84d3
3a3539d
99d84d3
3a3539d
99d84d3
 
 
 
 
 
 
 
 
 
3a3539d
99d84d3
3a3539d
99d84d3
 
 
3a3539d
 
99d84d3
3a3539d
99d84d3
 
 
 
 
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
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: yaygomii/whisper-small-ta-fyp
model-index:
- name: whisper-small-ta-peft-lora-cross
  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. -->

# whisper-small-ta-peft-lora-cross

This model is a fine-tuned version of [yaygomii/whisper-small-ta-fyp](https://huggingface.co/yaygomii/whisper-small-ta-fyp) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2903

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3287        | 1.0   | 1469 | 0.2903          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2