---
base_model: facebook/wav2vec2-base-960h
library_name: transformers
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-960h-EMOPIA-10sec-full-50epoc
  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. -->

# wav2vec2-base-960h-EMOPIA-10sec-full-50epoc

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2688
- Accuracy: 0.8630

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 1.2025        | 1.0   | 2248   | 1.3446          | 0.5196   |
| 1.415         | 2.0   | 4496   | 1.6350          | 0.6032   |
| 1.4176        | 3.0   | 6744   | 1.6250          | 0.6584   |
| 1.384         | 4.0   | 8992   | 1.3694          | 0.7242   |
| 1.3658        | 5.0   | 11240  | 1.4331          | 0.7100   |
| 1.2763        | 6.0   | 13488  | 1.3311          | 0.7438   |
| 1.2175        | 7.0   | 15736  | 1.2727          | 0.7580   |
| 1.1276        | 8.0   | 17984  | 1.4520          | 0.7331   |
| 1.1053        | 9.0   | 20232  | 1.2134          | 0.7722   |
| 1.0314        | 10.0  | 22480  | 1.2143          | 0.7829   |
| 1.0029        | 11.0  | 24728  | 1.3312          | 0.7811   |
| 0.9108        | 12.0  | 26976  | 1.2228          | 0.8025   |
| 0.8335        | 13.0  | 29224  | 1.1526          | 0.8078   |
| 0.8514        | 14.0  | 31472  | 0.9904          | 0.8203   |
| 0.7389        | 15.0  | 33720  | 1.3000          | 0.8025   |
| 0.6993        | 16.0  | 35968  | 1.0873          | 0.8203   |
| 0.6177        | 17.0  | 38216  | 1.0856          | 0.8327   |
| 0.641         | 18.0  | 40464  | 1.3224          | 0.7972   |
| 0.611         | 19.0  | 42712  | 1.1800          | 0.8292   |
| 0.5744        | 20.0  | 44960  | 1.2937          | 0.8096   |
| 0.5008        | 21.0  | 47208  | 1.1565          | 0.8416   |
| 0.4396        | 22.0  | 49456  | 1.3663          | 0.8149   |
| 0.4313        | 23.0  | 51704  | 1.3267          | 0.8221   |
| 0.3954        | 24.0  | 53952  | 1.1824          | 0.8470   |
| 0.4217        | 25.0  | 56200  | 1.5586          | 0.8043   |
| 0.3797        | 26.0  | 58448  | 1.1746          | 0.8523   |
| 0.358         | 27.0  | 60696  | 1.1937          | 0.8452   |
| 0.2963        | 28.0  | 62944  | 1.4036          | 0.8310   |
| 0.3338        | 29.0  | 65192  | 1.3134          | 0.8505   |
| 0.2565        | 30.0  | 67440  | 1.4806          | 0.8345   |
| 0.2798        | 31.0  | 69688  | 1.5173          | 0.8310   |
| 0.2674        | 32.0  | 71936  | 1.5758          | 0.8132   |
| 0.2334        | 33.0  | 74184  | 1.3401          | 0.8559   |
| 0.2352        | 34.0  | 76432  | 1.2717          | 0.8470   |
| 0.2406        | 35.0  | 78680  | 1.6163          | 0.8256   |
| 0.2208        | 36.0  | 80928  | 1.3815          | 0.8505   |
| 0.1796        | 37.0  | 83176  | 1.3929          | 0.8577   |
| 0.2127        | 38.0  | 85424  | 1.5271          | 0.8274   |
| 0.1748        | 39.0  | 87672  | 1.5069          | 0.8416   |
| 0.1612        | 40.0  | 89920  | 1.3966          | 0.8470   |
| 0.1757        | 41.0  | 92168  | 1.4628          | 0.8470   |
| 0.1664        | 42.0  | 94416  | 1.3363          | 0.8523   |
| 0.1313        | 43.0  | 96664  | 1.4388          | 0.8434   |
| 0.1272        | 44.0  | 98912  | 1.3670          | 0.8630   |
| 0.1127        | 45.0  | 101160 | 1.4244          | 0.8541   |
| 0.1062        | 46.0  | 103408 | 1.3812          | 0.8541   |
| 0.0924        | 47.0  | 105656 | 1.4448          | 0.8541   |
| 0.0998        | 48.0  | 107904 | 1.3051          | 0.8683   |
| 0.1055        | 49.0  | 110152 | 1.2630          | 0.8701   |
| 0.1073        | 50.0  | 112400 | 1.2688          | 0.8630   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0