Commit
•
665784a
1
Parent(s):
5fbd958
Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: facebook/wav2vec2-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- wer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: w2v2-base-pretrained_lr5e-5_at0.1_da1
|
| 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 |
+
# w2v2-base-pretrained_lr5e-5_at0.1_da1
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 2.9860
|
| 21 |
+
- Wer: 1.0
|
| 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: 5e-05
|
| 41 |
+
- train_batch_size: 32
|
| 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: 4000
|
| 48 |
+
- mixed_precision_training: Native AMP
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:---:|
|
| 54 |
+
| 20.8426 | 3.91 | 250 | 4.2781 | 1.0 |
|
| 55 |
+
| 3.361 | 7.81 | 500 | 3.2598 | 1.0 |
|
| 56 |
+
| 3.1516 | 11.72 | 750 | 3.1302 | 1.0 |
|
| 57 |
+
| 3.0935 | 15.62 | 1000 | 3.1129 | 1.0 |
|
| 58 |
+
| 3.0789 | 19.53 | 1250 | 3.0937 | 1.0 |
|
| 59 |
+
| 3.074 | 23.44 | 1500 | 3.0938 | 1.0 |
|
| 60 |
+
| 3.0673 | 27.34 | 1750 | 3.0927 | 1.0 |
|
| 61 |
+
| 3.0709 | 31.25 | 2000 | 3.0861 | 1.0 |
|
| 62 |
+
| 3.0482 | 35.16 | 2250 | 3.0659 | 1.0 |
|
| 63 |
+
| 3.0259 | 39.06 | 2500 | 3.0543 | 1.0 |
|
| 64 |
+
| 3.0173 | 42.97 | 2750 | 3.0568 | 1.0 |
|
| 65 |
+
| 3.0072 | 46.88 | 3000 | 3.0708 | 1.0 |
|
| 66 |
+
| 2.9967 | 50.78 | 3250 | 3.0357 | 1.0 |
|
| 67 |
+
| 2.9757 | 54.69 | 3500 | 3.0239 | 1.0 |
|
| 68 |
+
| 2.939 | 58.59 | 3750 | 3.0070 | 1.0 |
|
| 69 |
+
| 2.8946 | 62.5 | 4000 | 2.9860 | 1.0 |
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
### Framework versions
|
| 73 |
+
|
| 74 |
+
- Transformers 4.35.0
|
| 75 |
+
- Pytorch 2.0.0
|
| 76 |
+
- Datasets 2.14.6
|
| 77 |
+
- Tokenizers 0.14.1
|