Commit
•
ccafe8c
1
Parent(s):
4a56f1e
End of training
Browse files
README.md
CHANGED
|
@@ -22,7 +22,7 @@ model-index:
|
|
| 22 |
metrics:
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
-
value: 0.
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss:
|
| 36 |
-
- Accuracy: 0.
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
@@ -53,11 +53,11 @@ More information needed
|
|
| 53 |
|
| 54 |
The following hyperparameters were used during training:
|
| 55 |
- learning_rate: 0.001
|
| 56 |
-
- train_batch_size:
|
| 57 |
-
- eval_batch_size:
|
| 58 |
- seed: 123
|
| 59 |
-
- gradient_accumulation_steps:
|
| 60 |
-
- total_train_batch_size:
|
| 61 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 62 |
- lr_scheduler_type: linear
|
| 63 |
- num_epochs: 1
|
|
@@ -66,7 +66,7 @@ The following hyperparameters were used during training:
|
|
| 66 |
|
| 67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 68 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 69 |
-
| No log | 0.
|
| 70 |
|
| 71 |
|
| 72 |
### Framework versions
|
|
|
|
| 22 |
metrics:
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
+
value: 0.6853932584269663
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 0.9077
|
| 36 |
+
- Accuracy: 0.6854
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
|
|
| 53 |
|
| 54 |
The following hyperparameters were used during training:
|
| 55 |
- learning_rate: 0.001
|
| 56 |
+
- train_batch_size: 16
|
| 57 |
+
- eval_batch_size: 16
|
| 58 |
- seed: 123
|
| 59 |
+
- gradient_accumulation_steps: 4
|
| 60 |
+
- total_train_batch_size: 64
|
| 61 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 62 |
- lr_scheduler_type: linear
|
| 63 |
- num_epochs: 1
|
|
|
|
| 66 |
|
| 67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 68 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 69 |
+
| No log | 0.9778 | 11 | 0.9077 | 0.6854 |
|
| 70 |
|
| 71 |
|
| 72 |
### Framework versions
|
runs/Jul03_17-12-09_DesMar/events.out.tfevents.1720019530.DesMar.18220.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b329aacf5d554d3046c3c62e4c9c3968c4ef6fb9da8baef2f5cbd1570d68bef8
|
| 3 |
+
size 6740
|
runs/Jul03_17-12-09_DesMar/events.out.tfevents.1720019637.DesMar.18220.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4edc38c1aa632da23762423a39394f8cb4386ae639cca4f32372cd538d909fe
|
| 3 |
+
size 405
|