---
library_name: transformers
license: apache-2.0
base_model: sridhar1ga/speech_emotion_is25
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: speech_emotion_is25
  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. -->

# speech_emotion_is25

This model is a fine-tuned version of [sridhar1ga/speech_emotion_is25](https://huggingface.co/sridhar1ga/speech_emotion_is25) on an unknown dataset.
It achieves the following results on the evaluation set:
- F1: 0.1507
- Loss: 1.9786

## 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: 0.0003
- 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 | F1     | Validation Loss |
|:-------------:|:------:|:----:|:------:|:---------------:|
| 8.3207        | 1.0    | 73   | 0.0288 | 2.0793          |
| 8.3072        | 2.0    | 146  | 0.0379 | 2.0790          |
| 8.2824        | 3.0    | 219  | 0.1134 | 2.0707          |
| 8.178         | 4.0    | 292  | 0.1204 | 2.0244          |
| 8.0941        | 5.0    | 365  | 0.1380 | 2.0037          |
| 8.0498        | 6.0    | 438  | 0.1395 | 1.9927          |
| 7.9997        | 7.0    | 511  | 0.1379 | 1.9860          |
| 7.9315        | 8.0    | 584  | 0.1485 | 1.9829          |
| 7.9988        | 9.0    | 657  | 0.1464 | 1.9797          |
| 7.9838        | 9.8690 | 720  | 0.1507 | 1.9786          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0