End of training
Browse files- README.md +10 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Apr06_17-46-59_ip-172-31-23-125/events.out.tfevents.1712448513.ip-172-31-23-125.8590.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1320 -0
README.md
CHANGED
@@ -2,38 +2,39 @@
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license: apache-2.0
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3 |
base_model: arun100/whisper-base-th-1
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tags:
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- generated_from_trainer
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datasets:
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-
- fleurs
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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: fleurs
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-
type: fleurs
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config: th_th
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split: test
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args: th_th
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metrics:
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- name: Wer
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type: wer
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-
value:
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---
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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 [arun100/whisper-base-th-1](https://huggingface.co/arun100/whisper-base-th-1) on the fleurs dataset.
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It achieves the following results on the evaluation set:
|
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-
- Loss: 0.
|
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-
- Wer:
|
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|
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## Model description
|
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2 |
license: apache-2.0
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3 |
base_model: arun100/whisper-base-th-1
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4 |
tags:
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5 |
+
- whisper-event
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- generated_from_trainer
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datasets:
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8 |
+
- google/fleurs
|
9 |
metrics:
|
10 |
- wer
|
11 |
model-index:
|
12 |
+
- name: Whisper Base Thai (2)
|
13 |
results:
|
14 |
- task:
|
15 |
name: Automatic Speech Recognition
|
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type: automatic-speech-recognition
|
17 |
dataset:
|
18 |
+
name: google/fleurs th_th
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+
type: google/fleurs
|
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config: th_th
|
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split: test
|
22 |
args: th_th
|
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metrics:
|
24 |
- name: Wer
|
25 |
type: wer
|
26 |
+
value: 53.662828506943114
|
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 |
|
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+
# Whisper Base Thai (2)
|
33 |
|
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+
This model is a fine-tuned version of [arun100/whisper-base-th-1](https://huggingface.co/arun100/whisper-base-th-1) on the google/fleurs th_th dataset.
|
35 |
It achieves the following results on the evaluation set:
|
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+
- Loss: 0.5628
|
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+
- Wer: 53.6628
|
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|
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## Model description
|
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|
all_results.json
ADDED
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{
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"epoch": 357.0,
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+
"eval_loss": 0.5628067255020142,
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+
"eval_runtime": 220.2375,
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+
"eval_samples_per_second": 4.636,
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+
"eval_steps_per_second": 0.145,
|
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+
"eval_wer": 53.662828506943114,
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+
"train_loss": 0.22935251636505127,
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+
"train_runtime": 22650.8672,
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+
"train_samples_per_second": 14.127,
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+
"train_steps_per_second": 0.221
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+
}
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eval_results.json
ADDED
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{
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"epoch": 357.0,
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+
"eval_loss": 0.5628067255020142,
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+
"eval_runtime": 220.2375,
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+
"eval_samples_per_second": 4.636,
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+
"eval_steps_per_second": 0.145,
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+
"eval_wer": 53.662828506943114
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+
}
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runs/Apr06_17-46-59_ip-172-31-23-125/events.out.tfevents.1712448513.ip-172-31-23-125.8590.1
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:dc535d22d96ae2e4ec1a4ff0979763a820ba92493a44232e9d220f5432146e12
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+
size 406
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train_results.json
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{
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+
"epoch": 357.0,
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+
"train_loss": 0.22935251636505127,
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+
"train_runtime": 22650.8672,
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+
"train_samples_per_second": 14.127,
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+
"train_steps_per_second": 0.221
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+
}
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trainer_state.json
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