metadata
base_model: lnxdx/20_2000_1e-5_hp-mehrdad
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: B4_1000_1e-5_hp-myself-2
results: []
B4_1000_1e-5_hp-myself-2
This model is a fine-tuned version of lnxdx/20_2000_1e-5_hp-mehrdad on the None dataset. It achieves the following results on the evaluation set:
- Loss on ShEMO train set: 0.7516
- Loss on ShEMO dev set: 0.6705
- WER on ShEMO train set: 28.02
- WER on ShEMO dev set: 31.16
- WER on Common Voice 13 test set: 19.34
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8083 | 0.62 | 100 | 0.6766 | 0.3271 |
| 0.8414 | 1.25 | 200 | 0.6774 | 0.3259 |
| 0.8465 | 1.88 | 300 | 0.6686 | 0.3262 |
| 0.7819 | 2.5 | 400 | 0.6749 | 0.3207 |
| 0.7905 | 3.12 | 500 | 0.6848 | 0.3178 |
| 0.8078 | 3.75 | 600 | 0.6571 | 0.3245 |
| 0.7771 | 4.38 | 700 | 0.6683 | 0.3145 |
| 0.7786 | 5.0 | 800 | 0.6688 | 0.3137 |
| 0.7656 | 5.62 | 900 | 0.6703 | 0.3134 |
| 0.7516 | 6.25 | 1000 | 0.6706 | 0.3131 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0