End of training
Browse files
README.md
CHANGED
|
@@ -1,59 +1,53 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: openai/whisper-small
|
| 4 |
tags:
|
| 5 |
-
-
|
| 6 |
-
- automatic-speech-recognition
|
| 7 |
datasets:
|
| 8 |
- mozilla-foundation/common_voice_16_1
|
| 9 |
metrics:
|
| 10 |
- wer
|
| 11 |
-
widget:
|
| 12 |
-
- example_title: Sample 1
|
| 13 |
-
src: sample_ar.mp3
|
| 14 |
model-index:
|
| 15 |
-
- name:
|
| 16 |
results:
|
| 17 |
- task:
|
| 18 |
name: Automatic Speech Recognition
|
| 19 |
type: automatic-speech-recognition
|
| 20 |
dataset:
|
| 21 |
-
name:
|
| 22 |
type: mozilla-foundation/common_voice_16_1
|
| 23 |
config: ar
|
| 24 |
split: test
|
| 25 |
-
args: ar
|
| 26 |
metrics:
|
| 27 |
- name: Wer
|
| 28 |
type: wer
|
| 29 |
-
value:
|
| 30 |
-
language:
|
| 31 |
-
- ar
|
| 32 |
-
library_name: transformers
|
| 33 |
-
pipeline_tag: automatic-speech-recognition
|
| 34 |
---
|
| 35 |
|
|
|
|
|
|
|
| 36 |
|
|
|
|
| 37 |
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
This model is for Arabic automatic speech recognition (ASR). It is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Arabic portion of the `mozilla-foundation/common_voice_16_1` dataset.
|
| 41 |
It achieves the following results on the evaluation set:
|
| 42 |
-
- Loss: 0.
|
| 43 |
-
- Wer:
|
| 44 |
|
| 45 |
## Model description
|
| 46 |
|
| 47 |
-
|
| 48 |
|
| 49 |
## Intended uses & limitations
|
| 50 |
|
| 51 |
-
|
| 52 |
|
| 53 |
## Training and evaluation data
|
| 54 |
|
| 55 |
-
|
| 56 |
-
Validation Data: CommonVoice (v16.1) Arabic test split
|
| 57 |
|
| 58 |
## Training procedure
|
| 59 |
|
|
@@ -62,12 +56,12 @@ Validation Data: CommonVoice (v16.1) Arabic test split
|
|
| 62 |
The following hyperparameters were used during training:
|
| 63 |
- learning_rate: 1e-05
|
| 64 |
- train_batch_size: 32
|
| 65 |
-
- eval_batch_size:
|
| 66 |
- seed: 42
|
| 67 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 68 |
- lr_scheduler_type: linear
|
| 69 |
- lr_scheduler_warmup_steps: 500
|
| 70 |
-
- training_steps:
|
| 71 |
- mixed_precision_training: Native AMP
|
| 72 |
|
| 73 |
### Training results
|
|
@@ -78,11 +72,15 @@ The following hyperparameters were used during training:
|
|
| 78 |
| 0.1625 | 1.65 | 2000 | 0.3353 | 228.5252 |
|
| 79 |
| 0.1002 | 2.47 | 3000 | 0.3311 | 238.8858 |
|
| 80 |
| 0.0751 | 3.3 | 4000 | 0.3354 | 158.1532 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 81 |
|
| 82 |
|
| 83 |
### Framework versions
|
| 84 |
|
| 85 |
-
- Transformers 4.
|
| 86 |
-
- Pytorch 2.
|
| 87 |
-
- Datasets 2.17.
|
| 88 |
-
- Tokenizers 0.15.2
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- ar
|
| 4 |
license: apache-2.0
|
| 5 |
base_model: openai/whisper-small
|
| 6 |
tags:
|
| 7 |
+
- generated_from_trainer
|
|
|
|
| 8 |
datasets:
|
| 9 |
- mozilla-foundation/common_voice_16_1
|
| 10 |
metrics:
|
| 11 |
- wer
|
|
|
|
|
|
|
|
|
|
| 12 |
model-index:
|
| 13 |
+
- name: Whisper Small AR v.2
|
| 14 |
results:
|
| 15 |
- task:
|
| 16 |
name: Automatic Speech Recognition
|
| 17 |
type: automatic-speech-recognition
|
| 18 |
dataset:
|
| 19 |
+
name: Common Voice 16.1
|
| 20 |
type: mozilla-foundation/common_voice_16_1
|
| 21 |
config: ar
|
| 22 |
split: test
|
| 23 |
+
args: 'config: ar, split: test'
|
| 24 |
metrics:
|
| 25 |
- name: Wer
|
| 26 |
type: wer
|
| 27 |
+
value: 47.726437288634024
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 AR v.2
|
| 34 |
|
| 35 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
|
|
|
|
|
|
|
| 36 |
It achieves the following results on the evaluation set:
|
| 37 |
+
- Loss: 0.4007
|
| 38 |
+
- Wer: 47.7264
|
| 39 |
|
| 40 |
## Model description
|
| 41 |
|
| 42 |
+
More information needed
|
| 43 |
|
| 44 |
## Intended uses & limitations
|
| 45 |
|
| 46 |
+
More information needed
|
| 47 |
|
| 48 |
## Training and evaluation data
|
| 49 |
|
| 50 |
+
More information needed
|
|
|
|
| 51 |
|
| 52 |
## Training procedure
|
| 53 |
|
|
|
|
| 56 |
The following hyperparameters were used during training:
|
| 57 |
- learning_rate: 1e-05
|
| 58 |
- train_batch_size: 32
|
| 59 |
+
- eval_batch_size: 32
|
| 60 |
- seed: 42
|
| 61 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 62 |
- lr_scheduler_type: linear
|
| 63 |
- lr_scheduler_warmup_steps: 500
|
| 64 |
+
- training_steps: 8000
|
| 65 |
- mixed_precision_training: Native AMP
|
| 66 |
|
| 67 |
### Training results
|
|
|
|
| 72 |
| 0.1625 | 1.65 | 2000 | 0.3353 | 228.5252 |
|
| 73 |
| 0.1002 | 2.47 | 3000 | 0.3311 | 238.8858 |
|
| 74 |
| 0.0751 | 3.3 | 4000 | 0.3354 | 158.1532 |
|
| 75 |
+
| 0.0601 | 4.12 | 5000 | 0.3576 | 48.9285 |
|
| 76 |
+
| 0.0612 | 4.95 | 6000 | 0.3575 | 47.8937 |
|
| 77 |
+
| 0.0383 | 5.77 | 7000 | 0.3819 | 46.9085 |
|
| 78 |
+
| 0.0234 | 6.6 | 8000 | 0.4007 | 47.7264 |
|
| 79 |
|
| 80 |
|
| 81 |
### Framework versions
|
| 82 |
|
| 83 |
+
- Transformers 4.38.1
|
| 84 |
+
- Pytorch 2.1.0+cu118
|
| 85 |
+
- Datasets 2.17.1
|
| 86 |
+
- Tokenizers 0.15.2
|
generation_config.json
CHANGED
|
@@ -160,6 +160,7 @@
|
|
| 160 |
"<|yo|>": 50325,
|
| 161 |
"<|zh|>": 50260
|
| 162 |
},
|
|
|
|
| 163 |
"max_initial_timestamp_index": 50,
|
| 164 |
"max_length": 448,
|
| 165 |
"no_timestamps_token_id": 50363,
|
|
@@ -260,5 +261,5 @@
|
|
| 260 |
"transcribe": 50359,
|
| 261 |
"translate": 50358
|
| 262 |
},
|
| 263 |
-
"transformers_version": "4.
|
| 264 |
}
|
|
|
|
| 160 |
"<|yo|>": 50325,
|
| 161 |
"<|zh|>": 50260
|
| 162 |
},
|
| 163 |
+
"language": "ar",
|
| 164 |
"max_initial_timestamp_index": 50,
|
| 165 |
"max_length": 448,
|
| 166 |
"no_timestamps_token_id": 50363,
|
|
|
|
| 261 |
"transcribe": 50359,
|
| 262 |
"translate": 50358
|
| 263 |
},
|
| 264 |
+
"transformers_version": "4.38.1"
|
| 265 |
}
|
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:a639b02ee64c35036e7ca0ddde2f68f6038de017a5d43a8615dd227728d62c8c
|
| 3 |
size 966995080
|
runs/Feb24_23-41-48_326117fcf43d/events.out.tfevents.1708818121.326117fcf43d.12625.5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:560384fcfe65e7ff79a437f63579428891cb0eb6eefc30b18ac5a1e7263d6196
|
| 3 |
+
size 40813
|