File size: 3,578 Bytes
36642a6 ba0d488 36642a6 ba0d488 36642a6 4c7e894 36642a6 ba0d488 36642a6 |
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 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: kids_phoneme_sm_model
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. -->
# kids_phoneme_sm_model
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 15.8911
- Cer: 1.0
## 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: 4e-59
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:---:|
| 6.5005 | 0.74 | 500 | 15.8911 | 1.0 |
| 6.3865 | 1.48 | 1000 | 15.8911 | 1.0 |
| 6.3822 | 2.22 | 1500 | 15.8911 | 1.0 |
| 6.4251 | 2.96 | 2000 | 15.8911 | 1.0 |
| 6.3836 | 3.7 | 2500 | 15.8911 | 1.0 |
| 6.4552 | 4.44 | 3000 | 15.8911 | 1.0 |
| 6.4287 | 5.19 | 3500 | 15.8911 | 1.0 |
| 6.4304 | 5.93 | 4000 | 15.8911 | 1.0 |
| 6.375 | 6.67 | 4500 | 15.8911 | 1.0 |
| 6.5434 | 7.41 | 5000 | 15.8911 | 1.0 |
| 6.319 | 8.15 | 5500 | 15.8911 | 1.0 |
| 6.4693 | 8.89 | 6000 | 15.8911 | 1.0 |
| 6.4585 | 9.63 | 6500 | 15.8911 | 1.0 |
| 6.4795 | 10.37 | 7000 | 15.8911 | 1.0 |
| 6.393 | 11.11 | 7500 | 15.8911 | 1.0 |
| 6.3489 | 11.85 | 8000 | 15.8911 | 1.0 |
| 6.4511 | 12.59 | 8500 | 15.8911 | 1.0 |
| 6.3378 | 13.33 | 9000 | 15.8911 | 1.0 |
| 6.5094 | 14.07 | 9500 | 15.8911 | 1.0 |
| 6.3643 | 14.81 | 10000 | 15.8911 | 1.0 |
| 6.5079 | 15.56 | 10500 | 15.8911 | 1.0 |
| 6.4272 | 16.3 | 11000 | 15.8911 | 1.0 |
| 6.3937 | 17.04 | 11500 | 15.8911 | 1.0 |
| 6.3704 | 17.78 | 12000 | 15.8911 | 1.0 |
| 6.3797 | 18.52 | 12500 | 15.8911 | 1.0 |
| 6.5126 | 19.26 | 13000 | 15.8911 | 1.0 |
| 6.4111 | 20.0 | 13500 | 15.8911 | 1.0 |
| 6.3557 | 20.74 | 14000 | 15.8911 | 1.0 |
| 6.5705 | 21.48 | 14500 | 15.8911 | 1.0 |
| 6.3207 | 22.22 | 15000 | 15.8911 | 1.0 |
| 6.4664 | 22.96 | 15500 | 15.8911 | 1.0 |
| 6.4401 | 23.7 | 16000 | 15.8911 | 1.0 |
| 6.4136 | 24.44 | 16500 | 15.8911 | 1.0 |
| 6.5345 | 25.19 | 17000 | 15.8911 | 1.0 |
| 6.4097 | 25.93 | 17500 | 15.8911 | 1.0 |
| 6.2736 | 26.67 | 18000 | 15.8911 | 1.0 |
| 6.5474 | 27.41 | 18500 | 15.8911 | 1.0 |
| 6.3997 | 28.15 | 19000 | 15.8911 | 1.0 |
| 6.3997 | 28.89 | 19500 | 15.8911 | 1.0 |
| 6.5538 | 29.63 | 20000 | 15.8911 | 1.0 |
### Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
|