Commit
•
2f548cd
1
Parent(s):
17a0b0d
End of training
Browse files- README.md +78 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: Harveenchadha/vakyansh-wav2vec2-hindi-him-4200
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- wer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: hindi_wav2vec2_optimized_2
|
| 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 |
+
# hindi_wav2vec2_optimized_2
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-hindi-him-4200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-hindi-him-4200) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.4408
|
| 21 |
+
- Wer: 0.3122
|
| 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: 0.0003
|
| 41 |
+
- train_batch_size: 16
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 2
|
| 45 |
+
- total_train_batch_size: 32
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- lr_scheduler_warmup_steps: 10
|
| 49 |
+
- num_epochs: 100
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 55 |
+
| 3.2061 | 5.56 | 25 | 1.5744 | 0.5338 |
|
| 56 |
+
| 0.4727 | 11.11 | 50 | 1.4735 | 0.4409 |
|
| 57 |
+
| 0.2901 | 16.67 | 75 | 1.6240 | 0.4536 |
|
| 58 |
+
| 0.1643 | 22.22 | 100 | 1.4403 | 0.4726 |
|
| 59 |
+
| 0.0991 | 27.78 | 125 | 1.3516 | 0.4114 |
|
| 60 |
+
| 0.0512 | 33.33 | 150 | 1.3740 | 0.4409 |
|
| 61 |
+
| 0.0645 | 38.89 | 175 | 1.3560 | 0.3903 |
|
| 62 |
+
| 0.0461 | 44.44 | 200 | 1.3505 | 0.3840 |
|
| 63 |
+
| 0.0372 | 50.0 | 225 | 1.5078 | 0.4114 |
|
| 64 |
+
| 0.0277 | 55.56 | 250 | 1.5161 | 0.3629 |
|
| 65 |
+
| 0.0201 | 61.11 | 275 | 1.4834 | 0.3819 |
|
| 66 |
+
| 0.016 | 66.67 | 300 | 1.4693 | 0.3608 |
|
| 67 |
+
| 0.0122 | 72.22 | 325 | 1.4352 | 0.3439 |
|
| 68 |
+
| 0.0147 | 77.78 | 350 | 1.4382 | 0.3291 |
|
| 69 |
+
| 0.0098 | 83.33 | 375 | 1.4329 | 0.3122 |
|
| 70 |
+
| 0.015 | 88.89 | 400 | 1.4408 | 0.3122 |
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
### Framework versions
|
| 74 |
+
|
| 75 |
+
- Transformers 4.34.0
|
| 76 |
+
- Pytorch 2.0.1+cu118
|
| 77 |
+
- Datasets 2.14.5
|
| 78 |
+
- Tokenizers 0.14.1
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377766433
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da63d924c6b6851c8344038432d3e36180b178bf88c65cf3fff6d378b675d1e5
|
| 3 |
size 377766433
|