File size: 1,185 Bytes
bdb86ec d5bf35d bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec becff31 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 bdb86ec 3048d72 becff31 3048d72 |
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 |
---
datasets:
- common_voice_16_0
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: w2v-bert-2.0-mongolian-colab-CV16.0
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-mongolian-colab-CV16.0
This model was trained from scratch on the common_voice_16_0 dataset.
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
|