End of training
Browse files- README.md +11 -8
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jun29_10-06-51_durunda/events.out.tfevents.1719659156.durunda +3 -0
- train_results.json +7 -0
- trainer_state.json +1275 -0
README.md
CHANGED
@@ -1,39 +1,42 @@
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1 |
---
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license: apache-2.0
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3 |
base_model: openai/whisper-base
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tags:
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- generated_from_trainer
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6 |
datasets:
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-
- common_voice_13_0
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metrics:
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- wer
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model-index:
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-
- name:
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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-
name: common_voice_13_0
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-
type: common_voice_13_0
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config: pt
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split: test
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args: pt
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metrics:
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- name: Wer
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type: wer
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25 |
-
value: 19.
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26 |
---
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27 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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-
#
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-
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
|
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- Loss: 0.3815
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36 |
-
- Wer: 19.
|
37 |
|
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## Model description
|
39 |
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1 |
---
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+
language:
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+
- pt
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4 |
license: apache-2.0
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5 |
base_model: openai/whisper-base
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tags:
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+
- whisper-event
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- generated_from_trainer
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datasets:
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10 |
+
- mozilla-foundation/common_voice_13_0
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11 |
metrics:
|
12 |
- wer
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model-index:
|
14 |
+
- name: Whisper Base Portuguese
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results:
|
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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+
name: mozilla-foundation/common_voice_13_0 pt
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+
type: mozilla-foundation/common_voice_13_0
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22 |
config: pt
|
23 |
split: test
|
24 |
args: pt
|
25 |
metrics:
|
26 |
- name: Wer
|
27 |
type: wer
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28 |
+
value: 19.28991555219663
|
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 Portuguese
|
35 |
|
36 |
+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_13_0 pt dataset.
|
37 |
It achieves the following results on the evaluation set:
|
38 |
- Loss: 0.3815
|
39 |
+
- Wer: 19.2899
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|
41 |
## Model description
|
42 |
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all_results.json
ADDED
@@ -0,0 +1,12 @@
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{
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"epoch": 35.21,
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+
"eval_loss": 0.38145098090171814,
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+
"eval_runtime": 138.9291,
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+
"eval_samples_per_second": 65.3,
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+
"eval_steps_per_second": 1.022,
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+
"eval_wer": 19.28991555219663,
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+
"train_loss": 0.30019377393722535,
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+
"train_runtime": 10549.3759,
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+
"train_samples_per_second": 60.667,
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+
"train_steps_per_second": 0.474
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+
}
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eval_results.json
ADDED
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{
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"epoch": 35.21,
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+
"eval_loss": 0.38145098090171814,
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+
"eval_runtime": 138.9291,
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+
"eval_samples_per_second": 65.3,
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+
"eval_steps_per_second": 1.022,
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+
"eval_wer": 19.28991555219663
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+
}
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runs/Jun29_10-06-51_durunda/events.out.tfevents.1719659156.durunda
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:fa93ff8f4155d3476d757f893a4030ec19235b9da2828577c930bd88bf14e9c6
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+
size 40
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train_results.json
ADDED
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+
{
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"epoch": 35.21,
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+
"train_loss": 0.30019377393722535,
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+
"train_runtime": 10549.3759,
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5 |
+
"train_samples_per_second": 60.667,
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+
"train_steps_per_second": 0.474
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+
}
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trainer_state.json
ADDED
@@ -0,0 +1,1275 @@
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