update model card README.md
Browse files
README.md
CHANGED
|
@@ -3,18 +3,18 @@ license: apache-2.0
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
model-index:
|
| 6 |
-
name:
|
| 7 |
---
|
| 8 |
|
| 9 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 10 |
should probably proofread and complete it, then remove this comment. -->
|
| 11 |
|
| 12 |
-
#
|
| 13 |
|
| 14 |
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
|
| 15 |
It achieves the following results on the evaluation set:
|
| 16 |
-
- Loss:
|
| 17 |
-
- Wer: 0.
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
@@ -42,29 +42,29 @@ The following hyperparameters were used during training:
|
|
| 42 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 43 |
- lr_scheduler_type: linear
|
| 44 |
- lr_scheduler_warmup_steps: 500
|
| 45 |
-
- num_epochs:
|
| 46 |
- mixed_precision_training: Native AMP
|
| 47 |
|
| 48 |
### Training results
|
| 49 |
|
| 50 |
-
| Training Loss | Epoch
|
| 51 |
-
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 52 |
-
|
|
| 53 |
-
| 3.
|
| 54 |
-
| 2.
|
| 55 |
-
| 2.
|
| 56 |
-
| 1.
|
| 57 |
-
| 0.
|
| 58 |
-
| 0.
|
| 59 |
-
| 0.
|
| 60 |
-
| 0.
|
| 61 |
-
| 0.
|
| 62 |
-
| 0.
|
| 63 |
-
| 0.
|
| 64 |
-
| 0.
|
| 65 |
-
| 0.
|
| 66 |
-
| 0.
|
| 67 |
-
| 0.
|
| 68 |
|
| 69 |
|
| 70 |
### Framework versions
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
model-index:
|
| 6 |
+
name: bach-arb
|
| 7 |
---
|
| 8 |
|
| 9 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 10 |
should probably proofread and complete it, then remove this comment. -->
|
| 11 |
|
| 12 |
+
# bach-arb
|
| 13 |
|
| 14 |
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
|
| 15 |
It achieves the following results on the evaluation set:
|
| 16 |
+
- Loss: 2.6864
|
| 17 |
+
- Wer: 0.7986
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 42 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 43 |
- lr_scheduler_type: linear
|
| 44 |
- lr_scheduler_warmup_steps: 500
|
| 45 |
+
- num_epochs: 120
|
| 46 |
- mixed_precision_training: Native AMP
|
| 47 |
|
| 48 |
### Training results
|
| 49 |
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 51 |
+
|:-------------:|:------:|:----:|:---------------:|:------:|
|
| 52 |
+
| 14.2075 | 7.14 | 100 | 3.9465 | 1.0 |
|
| 53 |
+
| 3.4162 | 14.28 | 200 | 3.0725 | 1.0 |
|
| 54 |
+
| 2.9811 | 21.41 | 300 | 2.8973 | 1.0 |
|
| 55 |
+
| 2.5037 | 28.55 | 400 | 2.1000 | 1.0192 |
|
| 56 |
+
| 1.2743 | 35.69 | 500 | 1.6965 | 0.9448 |
|
| 57 |
+
| 0.6392 | 42.83 | 600 | 1.8077 | 0.8657 |
|
| 58 |
+
| 0.3871 | 49.97 | 700 | 2.1009 | 0.8585 |
|
| 59 |
+
| 0.2691 | 57.14 | 800 | 2.0475 | 0.8201 |
|
| 60 |
+
| 0.2032 | 64.28 | 900 | 2.1936 | 0.8537 |
|
| 61 |
+
| 0.1437 | 71.41 | 1000 | 2.1932 | 0.8058 |
|
| 62 |
+
| 0.1144 | 78.55 | 1100 | 2.3580 | 0.8201 |
|
| 63 |
+
| 0.0938 | 85.69 | 1200 | 2.4276 | 0.7938 |
|
| 64 |
+
| 0.0672 | 92.83 | 1300 | 2.7036 | 0.8297 |
|
| 65 |
+
| 0.055 | 99.97 | 1400 | 2.6035 | 0.7674 |
|
| 66 |
+
| 0.0467 | 107.14 | 1500 | 2.7449 | 0.7746 |
|
| 67 |
+
| 0.0372 | 114.28 | 1600 | 2.6864 | 0.7986 |
|
| 68 |
|
| 69 |
|
| 70 |
### Framework versions
|