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# 6-2_1000_1e-5_hp-myself-2

This model is a fine-tuned version of [lnxdx/B2_1000_1e-5_hp-mehrdad](https://huggingface.co/lnxdx/B2_1000_1e-5_hp-mehrdad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss on ShEMO train set: 0.7013
- Loss on ShEMO dev set:   0.6618
- WER on ShEMO train set:          26.36
- WER on ShEMO dev set:            31.16
- WER on Common Voice 13 test set: 19.30

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7523        | 0.62  | 100  | 0.6612          | 0.3148 |
| 0.7773        | 1.25  | 200  | 0.6627          | 0.3169 |
| 0.7784        | 1.88  | 300  | 0.6525          | 0.3183 |
| 0.7172        | 2.5   | 400  | 0.6591          | 0.3154 |
| 0.7199        | 3.12  | 500  | 0.6765          | 0.3125 |
| 0.7352        | 3.75  | 600  | 0.6474          | 0.3186 |
| 0.7101        | 4.38  | 700  | 0.6569          | 0.3151 |
| 0.723         | 5.0   | 800  | 0.6583          | 0.3166 |
| 0.7084        | 5.62  | 900  | 0.6642          | 0.3154 |
| 0.7013        | 6.25  | 1000 | 0.6618          | 0.3163 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "lnxdx/B2_1000_1e-5_hp-mehrdad", "model-index": [{"name": "6-2_1000_1e-5_hp-myself-2", "results": []}]}
transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:lnxdx/B2_1000_1e-5_hp-mehrdad endpoints_compatible region:us