End of training
Browse files
.ipynb_checkpoints/README-checkpoint.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
tags:
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| 4 |
+
- generated_from_trainer
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| 5 |
+
datasets:
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| 6 |
+
- common_voice_11_0
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| 7 |
+
metrics:
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| 8 |
+
- wer
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| 9 |
+
model-index:
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| 10 |
+
- name: openai/whisper-tiny
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| 11 |
+
results:
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| 12 |
+
- task:
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| 13 |
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name: Automatic Speech Recognition
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| 14 |
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type: automatic-speech-recognition
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| 15 |
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dataset:
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| 16 |
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name: common_voice_11_0
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| 17 |
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type: common_voice_11_0
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| 18 |
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config: zh-CN
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| 19 |
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split: test
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| 20 |
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args: zh-CN
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| 21 |
+
metrics:
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| 22 |
+
- name: Wer
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| 23 |
+
type: wer
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| 24 |
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value: 92.31710514815138
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| 25 |
+
---
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| 26 |
+
|
| 27 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 28 |
+
should probably proofread and complete it, then remove this comment. -->
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| 29 |
+
|
| 30 |
+
# openai/whisper-tiny
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| 31 |
+
|
| 32 |
+
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_11_0 dataset.
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| 33 |
+
It achieves the following results on the evaluation set:
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| 34 |
+
- Loss: 0.6092
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| 35 |
+
- Wer: 92.3171
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| 36 |
+
|
| 37 |
+
## Model description
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| 38 |
+
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| 39 |
+
More information needed
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| 40 |
+
|
| 41 |
+
## Intended uses & limitations
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| 42 |
+
|
| 43 |
+
More information needed
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| 44 |
+
|
| 45 |
+
## Training and evaluation data
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| 46 |
+
|
| 47 |
+
More information needed
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| 48 |
+
|
| 49 |
+
## Training procedure
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| 50 |
+
|
| 51 |
+
### Training hyperparameters
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| 52 |
+
|
| 53 |
+
The following hyperparameters were used during training:
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| 54 |
+
- learning_rate: 1e-05
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| 55 |
+
- train_batch_size: 64
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| 56 |
+
- eval_batch_size: 32
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| 57 |
+
- seed: 42
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| 58 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 59 |
+
- lr_scheduler_type: linear
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| 60 |
+
- lr_scheduler_warmup_steps: 500
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| 61 |
+
- training_steps: 5000
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| 62 |
+
- mixed_precision_training: Native AMP
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| 63 |
+
|
| 64 |
+
### Training results
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| 65 |
+
|
| 66 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 67 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 68 |
+
| 0.9397 | 2.02 | 1000 | 0.6568 | 98.7326 |
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| 69 |
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| 0.5387 | 4.04 | 2000 | 0.6149 | 94.5197 |
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| 70 |
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| 0.3317 | 6.06 | 3000 | 0.6080 | 95.0354 |
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| 71 |
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| 0.225 | 8.07 | 4000 | 0.6121 | 91.0934 |
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| 72 |
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| 0.3166 | 11.0 | 5000 | 0.6092 | 92.3171 |
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| 73 |
+
|
| 74 |
+
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| 75 |
+
### Framework versions
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| 76 |
+
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| 77 |
+
- Transformers 4.26.0.dev0
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| 78 |
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- Pytorch 1.13.1+cu117
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| 79 |
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- Datasets 2.7.1.dev0
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| 80 |
+
- Tokenizers 0.13.2
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all_results.json
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{
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"epoch": 11.0,
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| 3 |
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"eval_loss": 0.6120802164077759,
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| 4 |
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"eval_runtime": 1621.4393,
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| 5 |
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"eval_samples_per_second": 6.526,
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| 6 |
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"eval_steps_per_second": 0.204,
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| 7 |
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"eval_wer": 91.09343588847129,
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| 8 |
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"train_loss": 0.5324803882598877,
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| 9 |
+
"train_runtime": 32150.3272,
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| 10 |
+
"train_samples_per_second": 9.953,
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| 11 |
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"train_steps_per_second": 0.156
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| 12 |
+
}
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eval_results.json
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{
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"epoch": 11.0,
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| 3 |
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"eval_loss": 0.6120802164077759,
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| 4 |
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"eval_runtime": 1621.4393,
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| 5 |
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"eval_samples_per_second": 6.526,
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| 6 |
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"eval_steps_per_second": 0.204,
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| 7 |
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"eval_wer": 91.09343588847129
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| 8 |
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}
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runs/Dec18_20-28-11_129-213-24-233/events.out.tfevents.1671429094.129-213-24-233.2770033.2
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d29395ad0b69cd6e0f11cfd761ce68ee836e09bb267ecaf7f0519b2c19c5a8bf
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| 3 |
+
size 358
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train_results.json
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{
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"epoch": 11.0,
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| 3 |
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"train_loss": 0.5324803882598877,
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| 4 |
+
"train_runtime": 32150.3272,
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| 5 |
+
"train_samples_per_second": 9.953,
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| 6 |
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"train_steps_per_second": 0.156
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| 7 |
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}
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trainer_state.json
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