Hugging Face's logo

Marcos12886
/
distilhubert-finetuned-donateacry

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
Marcos12886 commited on
Commit
2ae8c3f
•
1 Parent(s): 27ea11b

End of training

Browse files
Files changed (4) hide show
  1. README.md +6 -7
  2. model.safetensors +1 -1
  3. runs/Sep01_13-21-56_ubumarcos/events.out.tfevents.1725189720.ubumarcos +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -45,7 +45,7 @@ should probably proofread and complete it, then remove this comment. -->
45
 
46
  This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
47
  It achieves the following results on the evaluation set:
48
- - Loss: 0.6676
49
  - Accuracy: 0.8370
50
  - F1: 0.7627
51
  - Precision: 0.7005
@@ -71,22 +71,21 @@ The following hyperparameters were used during training:
71
  - learning_rate: 0.001
72
  - train_batch_size: 8
73
  - eval_batch_size: 8
74
- - seed: 42
75
  - gradient_accumulation_steps: 8
76
  - total_train_batch_size: 64
77
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
78
  - lr_scheduler_type: cosine
79
  - lr_scheduler_warmup_ratio: 0.03
80
- - num_epochs: 5
81
 
82
  ### Training results
83
 
84
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
85
  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
86
- | No log | 0.8696 | 5 | 0.7413 | 0.8370 | 0.7627 | 0.7005 | 0.8370 |
87
- | No log | 1.9130 | 11 | 0.6653 | 0.8370 | 0.7627 | 0.7005 | 0.8370 |
88
- | No log | 2.9565 | 17 | 0.6791 | 0.8370 | 0.7627 | 0.7005 | 0.8370 |
89
- | No log | 4.0 | 23 | 0.6676 | 0.8370 | 0.7627 | 0.7005 | 0.8370 |
90
 
91
 
92
  ### Framework versions
 
45
 
46
  This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
47
  It achieves the following results on the evaluation set:
48
+ - Loss: 0.6681
49
  - Accuracy: 0.8370
50
  - F1: 0.7627
51
  - Precision: 0.7005
 
71
  - learning_rate: 0.001
72
  - train_batch_size: 8
73
  - eval_batch_size: 8
74
+ - seed: 123
75
  - gradient_accumulation_steps: 8
76
  - total_train_batch_size: 64
77
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
78
  - lr_scheduler_type: cosine
79
  - lr_scheduler_warmup_ratio: 0.03
80
+ - num_epochs: 3
81
 
82
  ### Training results
83
 
84
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
85
  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
86
+ | No log | 0.8696 | 5 | 0.6749 | 0.8370 | 0.7627 | 0.7005 | 0.8370 |
87
+ | No log | 1.9130 | 11 | 0.6683 | 0.8370 | 0.7627 | 0.7005 | 0.8370 |
88
+ | No log | 2.6087 | 15 | 0.6681 | 0.8370 | 0.7627 | 0.7005 | 0.8370 |
 
89
 
90
 
91
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0a3f9e5d8b40faff032035836f0dabe6808df764d0328654968025086605a13c
3
  size 94766588
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c1b4c8eb0c2e95c8feca150d80cb8fe121226243f7cac60fa15fc756ca55a69
3
  size 94766588
runs/Sep01_13-21-56_ubumarcos/events.out.tfevents.1725189720.ubumarcos ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b06d38b91f43d770da88c5cb09293398a6461e8bc9dfee8b819811532ddcd2c
3
+ size 7663
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:eeb6d9b2e1785128df653901ad7d75afd6158214df478bb9510988efceac9d7c
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fb85ee4f36dcafd2ddae0d994145873187f0205a5a55fad8f9eeac68b4b2171
3
  size 5240