Commit
•
47c5a3c
1
Parent(s):
10664d6
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- wer
|
| 7 |
+
model-index:
|
| 8 |
+
- name: whisper-small-mn-8
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# whisper-small-mn-8
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.2421
|
| 20 |
+
- Wer: 26.5185
|
| 21 |
+
- Cer: 9.4681
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 1e-05
|
| 41 |
+
- train_batch_size: 32
|
| 42 |
+
- eval_batch_size: 32
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_steps: 500
|
| 47 |
+
- training_steps: 15000
|
| 48 |
+
- mixed_precision_training: Native AMP
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|
| 53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
|
| 54 |
+
| 0.3717 | 0.35 | 1000 | 0.4004 | 46.9576 | 16.9664 |
|
| 55 |
+
| 0.286 | 0.69 | 2000 | 0.3129 | 37.3935 | 13.5504 |
|
| 56 |
+
| 0.2287 | 1.04 | 3000 | 0.2768 | 33.1931 | 11.7806 |
|
| 57 |
+
| 0.2257 | 1.39 | 4000 | 0.2590 | 30.7243 | 11.0232 |
|
| 58 |
+
| 0.2029 | 1.73 | 5000 | 0.2428 | 29.2003 | 10.4144 |
|
| 59 |
+
| 0.1691 | 2.08 | 6000 | 0.2408 | 28.4357 | 10.0306 |
|
| 60 |
+
| 0.1626 | 2.43 | 7000 | 0.2369 | 28.0588 | 10.0486 |
|
| 61 |
+
| 0.1588 | 2.77 | 8000 | 0.2321 | 27.2340 | 9.6819 |
|
| 62 |
+
| 0.1271 | 3.12 | 9000 | 0.2349 | 26.8407 | 9.5574 |
|
| 63 |
+
| 0.1263 | 3.47 | 10000 | 0.2356 | 27.1630 | 9.6519 |
|
| 64 |
+
| 0.1314 | 3.81 | 11000 | 0.2340 | 26.5567 | 9.4278 |
|
| 65 |
+
| 0.1062 | 4.16 | 12000 | 0.2390 | 26.6332 | 9.5162 |
|
| 66 |
+
| 0.1081 | 4.5 | 13000 | 0.2398 | 26.5840 | 9.5085 |
|
| 67 |
+
| 0.1033 | 4.85 | 14000 | 0.2402 | 26.7096 | 9.4801 |
|
| 68 |
+
| 0.097 | 5.2 | 15000 | 0.2421 | 26.5185 | 9.4681 |
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
### Framework versions
|
| 72 |
+
|
| 73 |
+
- Transformers 4.26.0.dev0
|
| 74 |
+
- Pytorch 1.13.0+cu117
|
| 75 |
+
- Datasets 2.7.1.dev0
|
| 76 |
+
- Tokenizers 0.13.2
|