Model save
Browse files
README.md
CHANGED
|
@@ -1,27 +1,25 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
-
language:
|
| 4 |
-
- ar
|
| 5 |
license: apache-2.0
|
| 6 |
-
base_model:
|
| 7 |
tags:
|
| 8 |
- generated_from_trainer
|
| 9 |
metrics:
|
| 10 |
- wer
|
| 11 |
model-index:
|
| 12 |
-
- name:
|
| 13 |
results: []
|
| 14 |
---
|
| 15 |
|
| 16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
|
| 19 |
-
#
|
| 20 |
|
| 21 |
-
This model is a fine-tuned version of [
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
-
- Loss: 0.
|
| 24 |
-
- Wer: 0.
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
|
@@ -49,7 +47,7 @@ The following hyperparameters were used during training:
|
|
| 49 |
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 50 |
- lr_scheduler_type: linear
|
| 51 |
- lr_scheduler_warmup_steps: 500
|
| 52 |
-
- num_epochs:
|
| 53 |
- mixed_precision_training: Native AMP
|
| 54 |
|
| 55 |
### Training results
|
|
@@ -86,6 +84,9 @@ The following hyperparameters were used during training:
|
|
| 86 |
| 0.8382 | 16.5975 | 28000 | 0.0871 | 0.2003 |
|
| 87 |
| 0.8399 | 17.1903 | 29000 | 0.0872 | 0.1989 |
|
| 88 |
| 0.8303 | 17.7830 | 30000 | 0.0871 | 0.2022 |
|
|
|
|
|
|
|
|
|
|
| 89 |
|
| 90 |
|
| 91 |
### Framework versions
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
|
|
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
+
base_model: Baselhany/Distilation_Whisper_base_CKP_256
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
metrics:
|
| 8 |
- wer
|
| 9 |
model-index:
|
| 10 |
+
- name: Distilation_Whisper_base_CKP_256
|
| 11 |
results: []
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
|
| 17 |
+
# Distilation_Whisper_base_CKP_256
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_CKP_256](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP_256) on an unknown dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0895
|
| 22 |
+
- Wer: 0.2050
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
|
|
| 47 |
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 48 |
- lr_scheduler_type: linear
|
| 49 |
- lr_scheduler_warmup_steps: 500
|
| 50 |
+
- num_epochs: 20
|
| 51 |
- mixed_precision_training: Native AMP
|
| 52 |
|
| 53 |
### Training results
|
|
|
|
| 84 |
| 0.8382 | 16.5975 | 28000 | 0.0871 | 0.2003 |
|
| 85 |
| 0.8399 | 17.1903 | 29000 | 0.0872 | 0.1989 |
|
| 86 |
| 0.8303 | 17.7830 | 30000 | 0.0871 | 0.2022 |
|
| 87 |
+
| 0.8621 | 18.3758 | 31000 | 0.0872 | 0.2022 |
|
| 88 |
+
| 0.8784 | 18.9686 | 32000 | 0.0872 | 0.2066 |
|
| 89 |
+
| 0.8448 | 19.5614 | 33000 | 0.0868 | 0.2076 |
|
| 90 |
|
| 91 |
|
| 92 |
### Framework versions
|
runs/Jun10_17-47-09_710df61383f6/events.out.tfevents.1749590958.710df61383f6.19.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e281c53a773ed377cd4cb3f642abdb35507267e67fe852b850aa96d299537d4
|
| 3 |
+
size 412
|