---
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert-base-ls960-finetuned-ic-slurp-wt_init-frz-v1
  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. -->

# hubert-base-ls960-finetuned-ic-slurp-wt_init-frz-v1

This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co./facebook/hubert-base-ls960) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8557
- Accuracy: 0.4665

## 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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.6161        | 1.0   | 527   | 3.6149          | 0.1639   |
| 3.4319        | 2.0   | 1055  | 3.4045          | 0.1837   |
| 3.2109        | 3.0   | 1582  | 3.1534          | 0.2204   |
| 3.0227        | 4.0   | 2110  | 3.0869          | 0.2425   |
| 2.7612        | 5.0   | 2637  | 2.8947          | 0.2796   |
| 2.6536        | 6.0   | 3165  | 2.7741          | 0.3162   |
| 2.2984        | 7.0   | 3692  | 2.5992          | 0.3517   |
| 2.2411        | 8.0   | 4220  | 2.5695          | 0.3678   |
| 2.0698        | 9.0   | 4747  | 2.5301          | 0.3828   |
| 1.781         | 10.0  | 5275  | 2.4942          | 0.4076   |
| 1.7756        | 11.0  | 5802  | 2.4456          | 0.4145   |
| 1.429         | 12.0  | 6330  | 2.4907          | 0.4214   |
| 1.4662        | 13.0  | 6857  | 2.5513          | 0.4287   |
| 1.2868        | 14.0  | 7385  | 2.6220          | 0.4254   |
| 1.0628        | 15.0  | 7912  | 2.6932          | 0.4294   |
| 1.0636        | 16.0  | 8440  | 2.7047          | 0.4348   |
| 0.861         | 17.0  | 8967  | 2.7132          | 0.4405   |
| 0.8748        | 18.0  | 9495  | 2.8117          | 0.4414   |
| 0.7779        | 19.0  | 10022 | 2.8338          | 0.4454   |
| 0.7247        | 20.0  | 10550 | 2.9349          | 0.4407   |
| 0.6041        | 21.0  | 11077 | 2.9980          | 0.4396   |
| 0.6234        | 22.0  | 11605 | 3.0899          | 0.4418   |
| 0.4641        | 23.0  | 12132 | 3.1206          | 0.4470   |
| 0.5321        | 24.0  | 12660 | 3.2098          | 0.4427   |
| 0.4293        | 25.0  | 13187 | 3.2953          | 0.4414   |
| 0.5322        | 26.0  | 13715 | 3.2976          | 0.4458   |
| 0.3345        | 27.0  | 14242 | 3.3888          | 0.4441   |
| 0.4868        | 28.0  | 14770 | 3.3955          | 0.4472   |
| 0.29          | 29.0  | 15297 | 3.4445          | 0.4451   |
| 0.2429        | 30.0  | 15825 | 3.4317          | 0.4537   |
| 0.3375        | 31.0  | 16352 | 3.4972          | 0.4534   |
| 0.26          | 32.0  | 16880 | 3.6675          | 0.4434   |
| 0.2337        | 33.0  | 17407 | 3.5817          | 0.4491   |
| 0.2984        | 34.0  | 17935 | 3.5766          | 0.4485   |
| 0.2249        | 35.0  | 18462 | 3.5912          | 0.4538   |
| 0.1962        | 36.0  | 18990 | 3.6414          | 0.4556   |
| 0.2243        | 37.0  | 19517 | 3.7025          | 0.4563   |
| 0.2169        | 38.0  | 20045 | 3.7524          | 0.4557   |
| 0.1509        | 39.0  | 20572 | 3.6993          | 0.4583   |
| 0.2106        | 40.0  | 21100 | 3.8040          | 0.4550   |
| 0.224         | 41.0  | 21627 | 3.7628          | 0.4628   |
| 0.1154        | 42.0  | 22155 | 3.7545          | 0.4652   |
| 0.1453        | 43.0  | 22682 | 3.7632          | 0.4651   |
| 0.1221        | 44.0  | 23210 | 3.8144          | 0.4596   |
| 0.1419        | 45.0  | 23737 | 3.8580          | 0.4627   |
| 0.1178        | 46.0  | 24265 | 3.8238          | 0.4656   |
| 0.1517        | 47.0  | 24792 | 3.8614          | 0.4635   |
| 0.1207        | 48.0  | 25320 | 3.8786          | 0.4644   |
| 0.1223        | 49.0  | 25847 | 3.8557          | 0.4665   |
| 0.067         | 49.95 | 26350 | 3.8611          | 0.4651   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.15.0