End of training
Browse files- README.md +10 -10
- adapter_model.safetensors +1 -1
README.md
CHANGED
|
@@ -17,12 +17,12 @@ model-index:
|
|
| 17 |
type: automatic-speech-recognition
|
| 18 |
name: Automatic Speech Recognition
|
| 19 |
dataset:
|
| 20 |
-
name:
|
| 21 |
type: rmacek/ORF-whisper-small
|
| 22 |
args: 'config: de, split: test'
|
| 23 |
metrics:
|
| 24 |
- type: wer
|
| 25 |
-
value:
|
| 26 |
name: Wer
|
| 27 |
---
|
| 28 |
|
|
@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 31 |
|
| 32 |
# Whisper ORF Bundeslaender
|
| 33 |
|
| 34 |
-
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
-
- Loss: 0.
|
| 37 |
-
- Wer:
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
|
@@ -53,7 +53,7 @@ More information needed
|
|
| 53 |
### Training hyperparameters
|
| 54 |
|
| 55 |
The following hyperparameters were used during training:
|
| 56 |
-
- learning_rate:
|
| 57 |
- train_batch_size: 16
|
| 58 |
- eval_batch_size: 8
|
| 59 |
- seed: 42
|
|
@@ -67,10 +67,10 @@ The following hyperparameters were used during training:
|
|
| 67 |
|
| 68 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 69 |
|:-------------:|:------:|:----:|:---------------:|:-------:|
|
| 70 |
-
| 0.
|
| 71 |
-
| 0.
|
| 72 |
-
| 0.
|
| 73 |
-
| 0.
|
| 74 |
|
| 75 |
|
| 76 |
### Framework versions
|
|
|
|
| 17 |
type: automatic-speech-recognition
|
| 18 |
name: Automatic Speech Recognition
|
| 19 |
dataset:
|
| 20 |
+
name: ORF Bundesländer Voices
|
| 21 |
type: rmacek/ORF-whisper-small
|
| 22 |
args: 'config: de, split: test'
|
| 23 |
metrics:
|
| 24 |
- type: wer
|
| 25 |
+
value: 26.328635352109302
|
| 26 |
name: Wer
|
| 27 |
---
|
| 28 |
|
|
|
|
| 31 |
|
| 32 |
# Whisper ORF Bundeslaender
|
| 33 |
|
| 34 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ORF Bundesländer Voices dataset.
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
+
- Loss: 0.6154
|
| 37 |
+
- Wer: 26.3286
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
|
|
|
| 53 |
### Training hyperparameters
|
| 54 |
|
| 55 |
The following hyperparameters were used during training:
|
| 56 |
+
- learning_rate: 0.0001
|
| 57 |
- train_batch_size: 16
|
| 58 |
- eval_batch_size: 8
|
| 59 |
- seed: 42
|
|
|
|
| 67 |
|
| 68 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 69 |
|:-------------:|:------:|:----:|:---------------:|:-------:|
|
| 70 |
+
| 0.5731 | 1.7153 | 1000 | 0.6095 | 36.1178 |
|
| 71 |
+
| 0.4196 | 3.4305 | 2000 | 0.6040 | 26.1875 |
|
| 72 |
+
| 0.4214 | 5.1458 | 3000 | 0.6086 | 26.3813 |
|
| 73 |
+
| 0.3579 | 6.8611 | 4000 | 0.6154 | 26.3286 |
|
| 74 |
|
| 75 |
|
| 76 |
### Framework versions
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14176064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ddfacbca5783de5d892f95f08e49c0fa4e13a26e32f62be8d86f212827b43ba
|
| 3 |
size 14176064
|