metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: speech_emotion_is25
results: []
speech_emotion_is25
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9786
- F1: 0.1507
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 8.3207 | 1.0 | 73 | 2.0793 | 0.0288 |
| 8.3072 | 2.0 | 146 | 2.0790 | 0.0379 |
| 8.2824 | 3.0 | 219 | 2.0707 | 0.1134 |
| 8.178 | 4.0 | 292 | 2.0244 | 0.1204 |
| 8.0941 | 5.0 | 365 | 2.0037 | 0.1380 |
| 8.0498 | 6.0 | 438 | 1.9927 | 0.1395 |
| 7.9997 | 7.0 | 511 | 1.9860 | 0.1379 |
| 7.9315 | 8.0 | 584 | 1.9829 | 0.1485 |
| 7.9988 | 9.0 | 657 | 1.9797 | 0.1464 |
| 7.9838 | 9.8690 | 720 | 1.9786 | 0.1507 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0