kiranpantha
commited on
Commit
•
474aaeb
1
Parent(s):
e5040da
End of training
Browse files
README.md
CHANGED
@@ -25,7 +25,7 @@ model-index:
|
|
25 |
metrics:
|
26 |
- name: Wer
|
27 |
type: wer
|
28 |
-
value:
|
29 |
---
|
30 |
|
31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
35 |
|
36 |
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the OpenSLR54 dataset.
|
37 |
It achieves the following results on the evaluation set:
|
38 |
-
- Loss: 0.
|
39 |
-
- Wer:
|
40 |
|
41 |
## Model description
|
42 |
|
@@ -67,18 +67,18 @@ The following hyperparameters were used during training:
|
|
67 |
|
68 |
### Training results
|
69 |
|
70 |
-
| Training Loss | Epoch
|
71 |
-
|
72 |
-
| 0.
|
73 |
-
| 0.
|
74 |
-
| 0.
|
75 |
-
| 0.
|
76 |
-
| 0.
|
77 |
-
| 0.
|
78 |
-
| 0.
|
79 |
-
| 0.
|
80 |
-
| 0.
|
81 |
-
| 0.
|
82 |
|
83 |
|
84 |
### Framework versions
|
|
|
25 |
metrics:
|
26 |
- name: Wer
|
27 |
type: wer
|
28 |
+
value: 43.58105012370567
|
29 |
---
|
30 |
|
31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
35 |
|
36 |
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the OpenSLR54 dataset.
|
37 |
It achieves the following results on the evaluation set:
|
38 |
+
- Loss: 0.2096
|
39 |
+
- Wer: 43.5811
|
40 |
|
41 |
## Model description
|
42 |
|
|
|
67 |
|
68 |
### Training results
|
69 |
|
70 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
71 |
+
|:-------------:|:------:|:----:|:---------------:|:-------:|
|
72 |
+
| 0.5243 | 0.1200 | 500 | 0.4983 | 77.1832 |
|
73 |
+
| 0.3685 | 0.2399 | 1000 | 0.3600 | 64.9684 |
|
74 |
+
| 0.3007 | 0.3599 | 1500 | 0.3094 | 58.0592 |
|
75 |
+
| 0.2704 | 0.4798 | 2000 | 0.2785 | 54.5038 |
|
76 |
+
| 0.2529 | 0.5998 | 2500 | 0.2560 | 50.7560 |
|
77 |
+
| 0.2479 | 0.7198 | 3000 | 0.2407 | 48.4193 |
|
78 |
+
| 0.2349 | 0.8397 | 3500 | 0.2262 | 46.3850 |
|
79 |
+
| 0.211 | 0.9597 | 4000 | 0.2170 | 45.2305 |
|
80 |
+
| 0.1707 | 1.0797 | 4500 | 0.2132 | 44.6990 |
|
81 |
+
| 0.1506 | 1.1996 | 5000 | 0.2096 | 43.5811 |
|
82 |
|
83 |
|
84 |
### Framework versions
|