End of training
Browse files- README.md +10 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Feb12_17-32-40_ip-172-31-23-125/events.out.tfevents.1707780934.ip-172-31-23-125.13411.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1275 -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-fa-1
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4 |
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: fa_ir
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split: test
|
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args: fa_ir
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metrics:
|
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- name: Wer
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type: wer
|
25 |
-
value: 41.
|
26 |
---
|
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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|
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-
This model is a fine-tuned version of [arun100/whisper-base-fa-1](https://huggingface.co/arun100/whisper-base-fa-1) on the fleurs dataset.
|
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It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
-
- Wer: 41.
|
37 |
|
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## Model description
|
39 |
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2 |
license: apache-2.0
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3 |
base_model: arun100/whisper-base-fa-1
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4 |
tags:
|
5 |
+
- whisper-event
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6 |
- generated_from_trainer
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datasets:
|
8 |
+
- google/fleurs
|
9 |
metrics:
|
10 |
- wer
|
11 |
model-index:
|
12 |
+
- name: Whisper Base Persian Iranian
|
13 |
results:
|
14 |
- task:
|
15 |
name: Automatic Speech Recognition
|
16 |
type: automatic-speech-recognition
|
17 |
dataset:
|
18 |
+
name: google/fleurs fa_ir
|
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+
type: google/fleurs
|
20 |
config: fa_ir
|
21 |
split: test
|
22 |
args: fa_ir
|
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metrics:
|
24 |
- name: Wer
|
25 |
type: wer
|
26 |
+
value: 41.233830845771145
|
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 Persian Iranian
|
33 |
|
34 |
+
This model is a fine-tuned version of [arun100/whisper-base-fa-1](https://huggingface.co/arun100/whisper-base-fa-1) on the google/fleurs fa_ir dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.5030
|
37 |
+
- Wer: 41.2338
|
38 |
|
39 |
## Model description
|
40 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
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{
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+
"epoch": 434.0,
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+
"eval_loss": 0.5030277371406555,
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+
"eval_runtime": 156.9768,
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+
"eval_samples_per_second": 5.549,
|
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+
"eval_steps_per_second": 0.178,
|
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+
"eval_wer": 41.233830845771145,
|
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+
"train_loss": 0.096768384963274,
|
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+
"train_runtime": 21588.374,
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+
"train_samples_per_second": 14.823,
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+
"train_steps_per_second": 0.232
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+
}
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eval_results.json
ADDED
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{
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"epoch": 434.0,
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+
"eval_loss": 0.5030277371406555,
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+
"eval_runtime": 156.9768,
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+
"eval_samples_per_second": 5.549,
|
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+
"eval_steps_per_second": 0.178,
|
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+
"eval_wer": 41.233830845771145
|
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+
}
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runs/Feb12_17-32-40_ip-172-31-23-125/events.out.tfevents.1707780934.ip-172-31-23-125.13411.1
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:4746bcbbc8e8046ec5da8b689fbbe5cd1dabe444bccd1fb2169bcb977334c9cf
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+
size 406
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train_results.json
ADDED
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+
{
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+
"epoch": 434.0,
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+
"train_loss": 0.096768384963274,
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+
"train_runtime": 21588.374,
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5 |
+
"train_samples_per_second": 14.823,
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+
"train_steps_per_second": 0.232
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+
}
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trainer_state.json
ADDED
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