update model card README.md
Browse files
README.md
CHANGED
|
@@ -1,12 +1,9 @@
|
|
| 1 |
---
|
| 2 |
-
language:
|
| 3 |
-
- en
|
| 4 |
license: apache-2.0
|
| 5 |
tags:
|
| 6 |
-
- audio
|
| 7 |
-
- speech
|
| 8 |
-
- wav2vec2
|
| 9 |
- generated_from_trainer
|
|
|
|
|
|
|
| 10 |
model-index:
|
| 11 |
- name: torgo_xlsr_finetune_F04
|
| 12 |
results: []
|
|
@@ -17,7 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
|
| 18 |
# torgo_xlsr_finetune_F04
|
| 19 |
|
| 20 |
-
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the
|
|
|
|
|
|
|
|
|
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
@@ -47,6 +47,33 @@ The following hyperparameters were used during training:
|
|
| 47 |
- lr_scheduler_warmup_steps: 1000
|
| 48 |
- num_epochs: 20
|
| 49 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 50 |
### Framework versions
|
| 51 |
|
| 52 |
- Transformers 4.26.1
|
|
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
|
|
|
|
|
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- wer
|
| 7 |
model-index:
|
| 8 |
- name: torgo_xlsr_finetune_F04
|
| 9 |
results: []
|
|
|
|
| 14 |
|
| 15 |
# torgo_xlsr_finetune_F04
|
| 16 |
|
| 17 |
+
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.6313
|
| 20 |
+
- Wer: 0.3274
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 47 |
- lr_scheduler_warmup_steps: 1000
|
| 48 |
- num_epochs: 20
|
| 49 |
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|
|
| 54 |
+
| 3.5075 | 0.95 | 1000 | 3.3352 | 1.0 |
|
| 55 |
+
| 1.8254 | 1.89 | 2000 | 1.7412 | 0.8714 |
|
| 56 |
+
| 0.8749 | 2.84 | 3000 | 1.5034 | 0.6508 |
|
| 57 |
+
| 0.6621 | 3.78 | 4000 | 1.8431 | 0.5925 |
|
| 58 |
+
| 0.5211 | 4.73 | 5000 | 1.4749 | 0.4916 |
|
| 59 |
+
| 0.4321 | 5.68 | 6000 | 1.4354 | 0.4748 |
|
| 60 |
+
| 0.3739 | 6.62 | 7000 | 1.5245 | 0.4580 |
|
| 61 |
+
| 0.3332 | 7.57 | 8000 | 1.5774 | 0.4550 |
|
| 62 |
+
| 0.3028 | 8.51 | 9000 | 1.6406 | 0.3887 |
|
| 63 |
+
| 0.2828 | 9.46 | 10000 | 1.4622 | 0.3867 |
|
| 64 |
+
| 0.2588 | 10.41 | 11000 | 1.5811 | 0.3689 |
|
| 65 |
+
| 0.2522 | 11.35 | 12000 | 1.6337 | 0.3739 |
|
| 66 |
+
| 0.2303 | 12.3 | 13000 | 1.5185 | 0.3531 |
|
| 67 |
+
| 0.2249 | 13.24 | 14000 | 1.4798 | 0.3521 |
|
| 68 |
+
| 0.2002 | 14.19 | 15000 | 1.9813 | 0.3818 |
|
| 69 |
+
| 0.1924 | 15.14 | 16000 | 1.8237 | 0.3709 |
|
| 70 |
+
| 0.1824 | 16.08 | 17000 | 1.6372 | 0.3373 |
|
| 71 |
+
| 0.1628 | 17.03 | 18000 | 1.8213 | 0.3482 |
|
| 72 |
+
| 0.1652 | 17.97 | 19000 | 1.6352 | 0.3403 |
|
| 73 |
+
| 0.1521 | 18.92 | 20000 | 1.6690 | 0.3383 |
|
| 74 |
+
| 0.1564 | 19.87 | 21000 | 1.6313 | 0.3274 |
|
| 75 |
+
|
| 76 |
+
|
| 77 |
### Framework versions
|
| 78 |
|
| 79 |
- Transformers 4.26.1
|