Emotional-Analysis
This model is a fine-tuned version of Qwen/Qwen2-Audio-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0195
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: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- 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: constant
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6362 | 0.2439 | 20 | 0.0242 |
| 0.0091 | 0.4878 | 40 | 0.0186 |
| 0.0172 | 0.7317 | 60 | 0.0155 |
| 0.0032 | 0.9756 | 80 | 0.0195 |
Framework versions
- PEFT 0.14.0
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Model tree for cenk10combr/Emotional-Analysis
Base model
Qwen/Qwen2-Audio-7B-Instruct