File size: 1,185 Bytes
dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 dd30dd7 c8edbd4 |
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 |
---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-robust
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-kab
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. -->
# wav2vec2-kab
This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on the None 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: 7.6e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 1000
- num_epochs: 15
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
|