transformers pytorch wav2vec2 automatic-speech-recognition generated_from_trainer license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-300m-model-E
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xls-r-300m-model-E

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3847
- Wer: 1.0
- Cer: 0.7819

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 60
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 32.0813       | 1.0   | 47   | 31.5461         | 1.0094 | 0.9548 |
| 29.4098       | 2.0   | 94   | 21.2317         | 1.0    | 1.0    |
| 21.4795       | 3.0   | 141  | 13.2108         | 1.0    | 1.0    |
| 14.1161       | 4.0   | 188  | 8.5594          | 1.0    | 1.0    |
| 10.2708       | 5.0   | 235  | 6.4335          | 1.0    | 1.0    |
| 7.5093        | 6.0   | 282  | 5.1505          | 1.0    | 1.0    |
| 5.5936        | 7.0   | 329  | 4.3389          | 1.0    | 1.0    |
| 4.5311        | 8.0   | 376  | 3.8477          | 1.0    | 1.0    |
| 4.0117        | 9.0   | 423  | 3.5432          | 1.0    | 1.0    |
| 3.5793        | 10.0  | 470  | 3.3558          | 1.0    | 1.0    |
| 3.4033        | 11.0  | 517  | 3.2559          | 1.0    | 1.0    |
| 3.3079        | 12.0  | 564  | 3.2058          | 1.0    | 1.0    |
| 3.2444        | 13.0  | 611  | 3.1807          | 1.0    | 1.0    |
| 3.1968        | 14.0  | 658  | 3.1692          | 1.0    | 1.0    |
| 3.1719        | 15.0  | 705  | 3.1606          | 1.0    | 1.0    |
| 3.186         | 16.0  | 752  | 3.1566          | 1.0    | 1.0    |
| 3.1522        | 17.0  | 799  | 3.1509          | 1.0    | 1.0    |
| 3.1505        | 18.0  | 846  | 3.1471          | 1.0    | 1.0    |
| 3.1512        | 19.0  | 893  | 3.1429          | 1.0    | 1.0    |
| 3.1391        | 20.0  | 940  | 3.1312          | 1.0    | 1.0    |
| 3.1303        | 21.0  | 987  | 3.0959          | 1.0    | 1.0    |
| 3.0991        | 22.0  | 1034 | 3.0370          | 1.0    | 1.0    |
| 3.0508        | 23.0  | 1081 | 3.0680          | 1.0    | 1.0    |
| 3.0225        | 24.0  | 1128 | 2.9567          | 1.0    | 1.0    |
| 2.9782        | 25.0  | 1175 | 2.8864          | 1.0    | 1.0    |
| 2.9184        | 26.0  | 1222 | 2.8570          | 1.0    | 1.0    |
| 2.8788        | 27.0  | 1269 | 2.8252          | 1.0    | 0.9760 |
| 2.8529        | 28.0  | 1316 | 2.7908          | 1.0    | 0.8525 |
| 2.8254        | 29.0  | 1363 | 2.8204          | 1.0    | 0.8758 |
| 2.7802        | 30.0  | 1410 | 2.7102          | 1.0    | 0.8426 |
| 2.7555        | 31.0  | 1457 | 2.6736          | 1.0    | 0.8405 |
| 2.7258        | 32.0  | 1504 | 2.6650          | 1.0    | 0.8433 |
| 2.7024        | 33.0  | 1551 | 2.6377          | 1.0    | 0.8447 |
| 2.6743        | 34.0  | 1598 | 2.6364          | 1.0    | 0.8391 |
| 2.6523        | 35.0  | 1645 | 2.6055          | 1.0    | 0.8299 |
| 2.6332        | 36.0  | 1692 | 2.5676          | 1.0    | 0.8342 |
| 2.6095        | 37.0  | 1739 | 2.5468          | 1.0    | 0.8215 |
| 2.5907        | 38.0  | 1786 | 2.5346          | 1.0    | 0.8243 |
| 2.5825        | 39.0  | 1833 | 2.5382          | 1.0    | 0.8158 |
| 2.5661        | 40.0  | 1880 | 2.5160          | 1.0    | 0.8250 |
| 2.5598        | 41.0  | 1927 | 2.5185          | 1.0    | 0.8285 |
| 2.5349        | 42.0  | 1974 | 2.5313          | 1.0    | 0.8285 |
| 2.5275        | 43.0  | 2021 | 2.5078          | 1.0    | 0.8109 |
| 2.5105        | 44.0  | 2068 | 2.4804          | 1.0    | 0.8102 |
| 2.4963        | 45.0  | 2115 | 2.4829          | 1.0    | 0.8080 |
| 2.4929        | 46.0  | 2162 | 2.4405          | 1.0    | 0.7946 |
| 2.4826        | 47.0  | 2209 | 2.4515          | 1.0    | 0.7848 |
| 2.4734        | 48.0  | 2256 | 2.4508          | 1.0    | 0.7876 |
| 2.4701        | 49.0  | 2303 | 2.3954          | 1.0    | 0.7791 |
| 2.4436        | 50.0  | 2350 | 2.4241          | 1.0    | 0.7812 |
| 2.4308        | 51.0  | 2397 | 2.4091          | 1.0    | 0.7798 |
| 2.4252        | 52.0  | 2444 | 2.4084          | 1.0    | 0.7833 |
| 2.4284        | 53.0  | 2491 | 2.3973          | 1.0    | 0.7826 |
| 2.4264        | 54.0  | 2538 | 2.3883          | 1.0    | 0.7833 |
| 2.4126        | 55.0  | 2585 | 2.3703          | 1.0    | 0.7805 |
| 2.3986        | 56.0  | 2632 | 2.3867          | 1.0    | 0.7819 |
| 2.3946        | 57.0  | 2679 | 2.3888          | 1.0    | 0.7819 |
| 2.3992        | 58.0  | 2726 | 2.4034          | 1.0    | 0.7819 |
| 2.3951        | 59.0  | 2773 | 2.3804          | 1.0    | 0.7805 |
| 2.3908        | 60.0  | 2820 | 2.3847          | 1.0    | 0.7819 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3
