End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: openai/whisper-tiny.en
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- wer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: whisperFinetuneTakeTwo
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# whisperFinetuneTakeTwo
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.5685
|
| 21 |
+
- Wer: 26.8493
|
| 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: 0.001
|
| 41 |
+
- train_batch_size: 128
|
| 42 |
+
- eval_batch_size: 8
|
| 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: 100
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 52 |
+
|:-------------:|:------:|:----:|:---------------:|:-------:|
|
| 53 |
+
| 2.8768 | 0.2778 | 10 | 1.8749 | 35.4033 |
|
| 54 |
+
| 0.8301 | 0.5556 | 20 | 0.6687 | 24.9619 |
|
| 55 |
+
| 0.5543 | 0.8333 | 30 | 0.5484 | 22.9224 |
|
| 56 |
+
| 0.3902 | 1.1111 | 40 | 0.5108 | 20.3044 |
|
| 57 |
+
| 0.3395 | 1.3889 | 50 | 0.4900 | 20.6088 |
|
| 58 |
+
| 0.3255 | 1.6667 | 60 | 0.4830 | 20.7915 |
|
| 59 |
+
| 0.362 | 1.9444 | 70 | 0.4867 | 20.6393 |
|
| 60 |
+
| 0.1228 | 2.2222 | 80 | 0.5114 | 20.8524 |
|
| 61 |
+
| 0.1288 | 2.5 | 90 | 0.5299 | 21.3090 |
|
| 62 |
+
| 0.1513 | 2.7778 | 100 | 0.5685 | 26.8493 |
|
| 63 |
+
|
| 64 |
+
|
| 65 |
+
### Framework versions
|
| 66 |
+
|
| 67 |
+
- Transformers 4.40.1
|
| 68 |
+
- Pytorch 2.2.1+cu121
|
| 69 |
+
- Datasets 2.19.1.dev0
|
| 70 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151060136
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8cbe4b522cd0706f1063678b7040e09efa2f631243921ed1b5724912416ea66e
|
| 3 |
size 151060136
|