End of training
Browse files- README.md +12 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Feb07_19-05-57_ip-172-31-23-125/events.out.tfevents.1707381422.ip-172-31-23-125.1678.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +2610 -0
README.md
CHANGED
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@@ -1,39 +1,42 @@
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| 1 |
---
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| 2 |
license: apache-2.0
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| 3 |
base_model: openai/whisper-base
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| 4 |
tags:
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| 5 |
- generated_from_trainer
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| 6 |
datasets:
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-
- common_voice_16_0
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| 8 |
metrics:
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| 9 |
- wer
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| 10 |
model-index:
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| 11 |
-
- name:
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| 12 |
results:
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| 13 |
- task:
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| 14 |
name: Automatic Speech Recognition
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| 15 |
type: automatic-speech-recognition
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| 16 |
dataset:
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| 17 |
-
name: common_voice_16_0
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| 18 |
-
type: common_voice_16_0
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| 19 |
config: ar
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| 20 |
split: test
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| 21 |
args: ar
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| 22 |
metrics:
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| 23 |
- name: Wer
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| 24 |
type: wer
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| 25 |
-
value: 80.
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| 26 |
---
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| 27 |
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| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 29 |
should probably proofread and complete it, then remove this comment. -->
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| 30 |
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| 31 |
-
#
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| 32 |
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| 33 |
-
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 0.
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| 36 |
-
- Wer: 80.
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| 37 |
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| 38 |
## Model description
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| 39 |
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| 1 |
---
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| 2 |
+
language:
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| 3 |
+
- ar
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| 4 |
license: apache-2.0
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| 5 |
base_model: openai/whisper-base
|
| 6 |
tags:
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| 7 |
+
- whisper-event
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| 8 |
- generated_from_trainer
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| 9 |
datasets:
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| 10 |
+
- mozilla-foundation/common_voice_16_0
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| 11 |
metrics:
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| 12 |
- wer
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| 13 |
model-index:
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| 14 |
+
- name: Whisper Base Arabic
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| 15 |
results:
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| 16 |
- task:
|
| 17 |
name: Automatic Speech Recognition
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| 18 |
type: automatic-speech-recognition
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| 19 |
dataset:
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| 20 |
+
name: mozilla-foundation/common_voice_16_0 ar
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| 21 |
+
type: mozilla-foundation/common_voice_16_0
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| 22 |
config: ar
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| 23 |
split: test
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| 24 |
args: ar
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| 25 |
metrics:
|
| 26 |
- name: Wer
|
| 27 |
type: wer
|
| 28 |
+
value: 80.47772163527792
|
| 29 |
---
|
| 30 |
|
| 31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 32 |
should probably proofread and complete it, then remove this comment. -->
|
| 33 |
|
| 34 |
+
# Whisper Base Arabic
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| 35 |
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| 36 |
+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 ar dataset.
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
+
- Loss: 0.5856
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| 39 |
+
- Wer: 80.4777
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| 40 |
|
| 41 |
## Model description
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| 42 |
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all_results.json
ADDED
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{
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+
"epoch": 30.67,
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| 3 |
+
"eval_loss": 0.5856062173843384,
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| 4 |
+
"eval_runtime": 937.7038,
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| 5 |
+
"eval_samples_per_second": 11.161,
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| 6 |
+
"eval_steps_per_second": 0.35,
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| 7 |
+
"eval_wer": 80.47772163527792,
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| 8 |
+
"train_loss": 0.462699613571167,
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| 9 |
+
"train_runtime": 47184.4648,
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| 10 |
+
"train_samples_per_second": 13.564,
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| 11 |
+
"train_steps_per_second": 0.212
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| 12 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 30.67,
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+
"eval_loss": 0.5856062173843384,
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| 4 |
+
"eval_runtime": 937.7038,
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| 5 |
+
"eval_samples_per_second": 11.161,
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| 6 |
+
"eval_steps_per_second": 0.35,
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| 7 |
+
"eval_wer": 80.47772163527792
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| 8 |
+
}
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runs/Feb07_19-05-57_ip-172-31-23-125/events.out.tfevents.1707381422.ip-172-31-23-125.1678.1
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:24071ef4bbb704ed6359dafd690405d32baa340b813a108bdf8363b8f718ceec
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+
size 406
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train_results.json
ADDED
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+
{
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+
"epoch": 30.67,
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+
"train_loss": 0.462699613571167,
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| 4 |
+
"train_runtime": 47184.4648,
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| 5 |
+
"train_samples_per_second": 13.564,
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| 6 |
+
"train_steps_per_second": 0.212
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| 7 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,2610 @@
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