Rasi1610/SpeecherRecognitionModel
Browse files
README.md
ADDED
|
@@ -0,0 +1,90 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: facebook/wav2vec2-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: model_result
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# model_result
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.6132
|
| 21 |
+
- Accuracy: 0.9038
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 3e-05
|
| 41 |
+
- train_batch_size: 32
|
| 42 |
+
- eval_batch_size: 32
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 128
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 49 |
+
- num_epochs: 30
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-------:|:----:|:---------------:|:--------:|
|
| 55 |
+
| No log | 0.9231 | 3 | 1.6081 | 0.1538 |
|
| 56 |
+
| No log | 1.8462 | 6 | 1.5995 | 0.1731 |
|
| 57 |
+
| No log | 2.7692 | 9 | 1.5848 | 0.25 |
|
| 58 |
+
| 1.598 | 4.0 | 13 | 1.5500 | 0.3365 |
|
| 59 |
+
| 1.598 | 4.9231 | 16 | 1.5076 | 0.4904 |
|
| 60 |
+
| 1.598 | 5.8462 | 19 | 1.4453 | 0.6827 |
|
| 61 |
+
| 1.5052 | 6.7692 | 22 | 1.3662 | 0.6731 |
|
| 62 |
+
| 1.5052 | 8.0 | 26 | 1.2518 | 0.7212 |
|
| 63 |
+
| 1.5052 | 8.9231 | 29 | 1.1767 | 0.7308 |
|
| 64 |
+
| 1.2847 | 9.8462 | 32 | 1.1189 | 0.6923 |
|
| 65 |
+
| 1.2847 | 10.7692 | 35 | 1.0484 | 0.7596 |
|
| 66 |
+
| 1.2847 | 12.0 | 39 | 1.0011 | 0.7115 |
|
| 67 |
+
| 1.081 | 12.9231 | 42 | 0.9297 | 0.7692 |
|
| 68 |
+
| 1.081 | 13.8462 | 45 | 0.9014 | 0.7404 |
|
| 69 |
+
| 1.081 | 14.7692 | 48 | 0.8527 | 0.7692 |
|
| 70 |
+
| 0.9228 | 16.0 | 52 | 0.7915 | 0.8462 |
|
| 71 |
+
| 0.9228 | 16.9231 | 55 | 0.8105 | 0.75 |
|
| 72 |
+
| 0.9228 | 17.8462 | 58 | 0.7530 | 0.7885 |
|
| 73 |
+
| 0.7978 | 18.7692 | 61 | 0.7055 | 0.8558 |
|
| 74 |
+
| 0.7978 | 20.0 | 65 | 0.6827 | 0.8846 |
|
| 75 |
+
| 0.7978 | 20.9231 | 68 | 0.6725 | 0.8654 |
|
| 76 |
+
| 0.6996 | 21.8462 | 71 | 0.6646 | 0.875 |
|
| 77 |
+
| 0.6996 | 22.7692 | 74 | 0.6351 | 0.9038 |
|
| 78 |
+
| 0.6996 | 24.0 | 78 | 0.6202 | 0.9135 |
|
| 79 |
+
| 0.6471 | 24.9231 | 81 | 0.6186 | 0.9038 |
|
| 80 |
+
| 0.6471 | 25.8462 | 84 | 0.6157 | 0.8942 |
|
| 81 |
+
| 0.6471 | 26.7692 | 87 | 0.6148 | 0.8942 |
|
| 82 |
+
| 0.6172 | 27.6923 | 90 | 0.6132 | 0.9038 |
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
### Framework versions
|
| 86 |
+
|
| 87 |
+
- Transformers 4.42.4
|
| 88 |
+
- Pytorch 2.3.1+cu121
|
| 89 |
+
- Datasets 2.20.0
|
| 90 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378305452
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4cba6425b50e4d005d2f40c6cf4f3c5d74ad7c553d52fad23d5cde99d95e9584
|
| 3 |
size 378305452
|
runs/Jul22_03-30-20_95e5f664ce14/events.out.tfevents.1721619021.95e5f664ce14.2449.0
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 sha256:19c9b5f815ea33e198f1edf02da33c233f7f0ce511a22adfffacbcf7623e5271
|
| 3 |
+
size 17903
|