End of training
Browse files- README.md +30 -10
- model.safetensors +1 -1
README.md
CHANGED
|
@@ -7,25 +7,35 @@ tags:
|
|
| 7 |
- generated_from_trainer
|
| 8 |
datasets:
|
| 9 |
- mozilla-foundation/common_voice_11_0
|
|
|
|
|
|
|
| 10 |
model-index:
|
| 11 |
-
- name: Whisper Small Hi -
|
| 12 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
---
|
| 14 |
|
| 15 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
|
| 18 |
-
# Whisper Small Hi -
|
| 19 |
|
| 20 |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
-
-
|
| 23 |
-
-
|
| 24 |
-
- eval_runtime: 1303.7894
|
| 25 |
-
- eval_samples_per_second: 2.22
|
| 26 |
-
- eval_steps_per_second: 0.278
|
| 27 |
-
- epoch: 2.4450
|
| 28 |
-
- step: 1000
|
| 29 |
|
| 30 |
## Model description
|
| 31 |
|
|
@@ -54,6 +64,16 @@ The following hyperparameters were used during training:
|
|
| 54 |
- training_steps: 4000
|
| 55 |
- mixed_precision_training: Native AMP
|
| 56 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
### Framework versions
|
| 58 |
|
| 59 |
- Transformers 4.42.4
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
datasets:
|
| 9 |
- mozilla-foundation/common_voice_11_0
|
| 10 |
+
metrics:
|
| 11 |
+
- wer
|
| 12 |
model-index:
|
| 13 |
+
- name: Whisper Small Hi - Ritesh
|
| 14 |
+
results:
|
| 15 |
+
- task:
|
| 16 |
+
name: Automatic Speech Recognition
|
| 17 |
+
type: automatic-speech-recognition
|
| 18 |
+
dataset:
|
| 19 |
+
name: Common Voice 11.0
|
| 20 |
+
type: mozilla-foundation/common_voice_11_0
|
| 21 |
+
config: hi
|
| 22 |
+
split: None
|
| 23 |
+
args: 'config: hi, split: test'
|
| 24 |
+
metrics:
|
| 25 |
+
- name: Wer
|
| 26 |
+
type: wer
|
| 27 |
+
value: 32.56158469482774
|
| 28 |
---
|
| 29 |
|
| 30 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 31 |
should probably proofread and complete it, then remove this comment. -->
|
| 32 |
|
| 33 |
+
# Whisper Small Hi - Ritesh
|
| 34 |
|
| 35 |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
|
| 36 |
It achieves the following results on the evaluation set:
|
| 37 |
+
- Loss: 0.4383
|
| 38 |
+
- Wer: 32.5616
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
|
| 40 |
## Model description
|
| 41 |
|
|
|
|
| 64 |
- training_steps: 4000
|
| 65 |
- mixed_precision_training: Native AMP
|
| 66 |
|
| 67 |
+
### Training results
|
| 68 |
+
|
| 69 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 70 |
+
|:-------------:|:------:|:----:|:---------------:|:-------:|
|
| 71 |
+
| 0.0917 | 2.4450 | 1000 | 0.2986 | 35.0715 |
|
| 72 |
+
| 0.0213 | 4.8900 | 2000 | 0.3490 | 33.7129 |
|
| 73 |
+
| 0.0013 | 7.3350 | 3000 | 0.4147 | 32.3965 |
|
| 74 |
+
| 0.0005 | 9.7800 | 4000 | 0.4383 | 32.5616 |
|
| 75 |
+
|
| 76 |
+
|
| 77 |
### Framework versions
|
| 78 |
|
| 79 |
- Transformers 4.42.4
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 966995080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a44681b2a69d793980ec3209a75a7743e0b0055826ad8ca3b156c7fa7c38b0d
|
| 3 |
size 966995080
|