File size: 1,571 Bytes
0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 0e149c4 95d2d37 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
library_name: transformers
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_16_0
model-index:
- name: w2v-bert-2.0-armenian-CV16.0-version-demo
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# w2v-bert-2.0-armenian-CV16.0-version-demo
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2098
- eval_wer: 0.1629
- eval_runtime: 130.8463
- eval_samples_per_second: 20.574
- eval_steps_per_second: 2.576
- epoch: 11.1707
- step: 2100
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
|