End of training
Browse files- README.md +10 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Feb14_05-43-49_ip-172-31-68-44/events.out.tfevents.1707911667.ip-172-31-68-44.26095.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1320 -0
README.md
CHANGED
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@@ -2,38 +2,39 @@
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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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-
- fleurs
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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: fleurs
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| 18 |
-
type: fleurs
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| 19 |
config: fil_ph
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| 20 |
split: test
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| 21 |
args: fil_ph
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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:
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| 26 |
---
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| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 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 |
|
| 33 |
-
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 0.
|
| 36 |
-
- Wer:
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
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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:
|
| 5 |
+
- whisper-event
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
+
- google/fleurs
|
| 9 |
metrics:
|
| 10 |
- wer
|
| 11 |
model-index:
|
| 12 |
+
- name: Whisper Base Tagalog
|
| 13 |
results:
|
| 14 |
- task:
|
| 15 |
name: Automatic Speech Recognition
|
| 16 |
type: automatic-speech-recognition
|
| 17 |
dataset:
|
| 18 |
+
name: google/fleurs fil_ph
|
| 19 |
+
type: google/fleurs
|
| 20 |
config: fil_ph
|
| 21 |
split: test
|
| 22 |
args: fil_ph
|
| 23 |
metrics:
|
| 24 |
- name: Wer
|
| 25 |
type: wer
|
| 26 |
+
value: 30.810565352304547
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 30 |
should probably proofread and complete it, then remove this comment. -->
|
| 31 |
|
| 32 |
+
# Whisper Base Tagalog
|
| 33 |
|
| 34 |
+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the google/fleurs fil_ph dataset.
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
+
- Loss: 0.7222
|
| 37 |
+
- Wer: 30.8106
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
all_results.json
ADDED
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@@ -0,0 +1,12 @@
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{
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"epoch": 384.0,
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| 3 |
+
"eval_loss": 0.7221878170967102,
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| 4 |
+
"eval_runtime": 153.3344,
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| 5 |
+
"eval_samples_per_second": 6.287,
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| 6 |
+
"eval_steps_per_second": 0.202,
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| 7 |
+
"eval_wer": 30.810565352304547,
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| 8 |
+
"train_loss": 0.1594879190891981,
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| 9 |
+
"train_runtime": 22066.1664,
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| 10 |
+
"train_samples_per_second": 14.502,
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| 11 |
+
"train_steps_per_second": 0.227
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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": 384.0,
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+
"eval_loss": 0.7221878170967102,
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| 4 |
+
"eval_runtime": 153.3344,
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| 5 |
+
"eval_samples_per_second": 6.287,
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| 6 |
+
"eval_steps_per_second": 0.202,
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| 7 |
+
"eval_wer": 30.810565352304547
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| 8 |
+
}
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runs/Feb14_05-43-49_ip-172-31-68-44/events.out.tfevents.1707911667.ip-172-31-68-44.26095.1
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:753f409acff442eb956743ad82f1d60c2264fd3e71cfb91069116da7134448ac
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+
size 406
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train_results.json
ADDED
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+
{
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+
"epoch": 384.0,
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| 3 |
+
"train_loss": 0.1594879190891981,
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| 4 |
+
"train_runtime": 22066.1664,
|
| 5 |
+
"train_samples_per_second": 14.502,
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| 6 |
+
"train_steps_per_second": 0.227
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| 7 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,1320 @@
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