File size: 2,185 Bytes
9577c6f 9747723 9577c6f 9747723 9577c6f 9747723 9577c6f 9747723 9577c6f |
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 71 72 73 74 75 76 77 78 79 80 81 |
---
language:
- en
license: apache-2.0
base_model: futureProofGlitch/whisper-small-v2
tags:
- generated_from_trainer
datasets:
- futureProofGlitch/Lectures-test-V1
metrics:
- wer
model-index:
- name: FutureProofGlitch - Whisper Small - Fine Tuned on Lectures
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: TBK's Treasured Lectures
type: futureProofGlitch/Lectures-test-V1
metrics:
- name: Wer
type: wer
value: 0.056233149313133904
---
<!-- 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. -->
# FutureProofGlitch - Whisper Small - Fine Tuned on Lectures
This model is a fine-tuned version of [futureProofGlitch/whisper-small-v2](https://huggingface.co/futureProofGlitch/whisper-small-v2) on the TBK's Treasured Lectures dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3574
- Wer Ortho: 0.1834
- Wer: 0.0562
## 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: 1.1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 10
- training_steps: 100
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| No log | 0.21 | 25 | 0.8342 | 0.2377 | 0.0939 |
| 3.0694 | 0.42 | 50 | 0.4413 | 0.2100 | 0.0651 |
| 3.0694 | 0.64 | 75 | 0.3754 | 0.1859 | 0.0557 |
| 0.3126 | 0.85 | 100 | 0.3574 | 0.1834 | 0.0562 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|