Model save
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
base_model: facebook/wav2vec2-xls-r-1b
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- wer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: xls-r-1b-bemgen-male-model
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# xls-r-1b-bemgen-male-model
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.3453
|
| 22 |
+
- Wer: 0.4416
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 3e-05
|
| 42 |
+
- train_batch_size: 4
|
| 43 |
+
- eval_batch_size: 4
|
| 44 |
+
- seed: 42
|
| 45 |
+
- gradient_accumulation_steps: 2
|
| 46 |
+
- total_train_batch_size: 8
|
| 47 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- lr_scheduler_warmup_steps: 500
|
| 50 |
+
- num_epochs: 30.0
|
| 51 |
+
- mixed_precision_training: Native AMP
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 56 |
+
|:-------------:|:------:|:----:|:---------------:|:------:|
|
| 57 |
+
| No log | 0.3604 | 100 | 3.5018 | 1.0 |
|
| 58 |
+
| No log | 0.7207 | 200 | 2.8616 | 1.0 |
|
| 59 |
+
| No log | 1.0793 | 300 | 1.1005 | 0.9874 |
|
| 60 |
+
| No log | 1.4396 | 400 | 0.6285 | 0.8360 |
|
| 61 |
+
| 5.4329 | 1.8 | 500 | 0.5177 | 0.7589 |
|
| 62 |
+
| 5.4329 | 2.1586 | 600 | 0.4120 | 0.5989 |
|
| 63 |
+
| 5.4329 | 2.5189 | 700 | 0.3998 | 0.5496 |
|
| 64 |
+
| 5.4329 | 2.8793 | 800 | 0.3715 | 0.5654 |
|
| 65 |
+
| 5.4329 | 3.2378 | 900 | 0.3351 | 0.4872 |
|
| 66 |
+
| 0.644 | 3.5982 | 1000 | 0.3334 | 0.5015 |
|
| 67 |
+
| 0.644 | 3.9586 | 1100 | 0.3192 | 0.4796 |
|
| 68 |
+
| 0.644 | 4.3171 | 1200 | 0.3246 | 0.4594 |
|
| 69 |
+
| 0.644 | 4.6775 | 1300 | 0.3242 | 0.4612 |
|
| 70 |
+
| 0.644 | 5.0360 | 1400 | 0.3203 | 0.4442 |
|
| 71 |
+
| 0.3852 | 5.3964 | 1500 | 0.3453 | 0.4416 |
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
### Framework versions
|
| 75 |
+
|
| 76 |
+
- Transformers 4.47.1
|
| 77 |
+
- Pytorch 2.5.1+cu124
|
| 78 |
+
- Datasets 3.2.0
|
| 79 |
+
- Tokenizers 0.21.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3850249844
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1d87b0af2c20801beff09548f2b74e9ea18dc5a94ca3969895cc95f57116fa8
|
| 3 |
size 3850249844
|