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---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-phoneme-timit
results: []
datasets:
- timit_asr
language:
- en
---
<!-- 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. -->
# working
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3630
- Wer: 0.6243
- Cer: 0.1316
## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|
| 3.5325 | 11.9 | 1000 | 3.4897 | 1.0 | 0.9266 |
| 2.1973 | 23.81 | 2000 | 1.1350 | 0.8396 | 0.2403 |
| 1.4762 | 35.71 | 3000 | 0.5270 | 0.6845 | 0.1563 |
| 1.2409 | 47.62 | 4000 | 0.4195 | 0.6331 | 0.1403 |
| 1.1241 | 59.52 | 5000 | 0.3845 | 0.6362 | 0.1379 |
| 1.024 | 71.43 | 6000 | 0.3716 | 0.6321 | 0.1355 |
| 0.9922 | 83.33 | 7000 | 0.3728 | 0.6290 | 0.1331 |
| 0.9432 | 95.24 | 8000 | 0.3648 | 0.6170 | 0.1321 |
| 0.9279 | 107.14 | 9000 | 0.3643 | 0.6248 | 0.1325 |
| 0.9268 | 119.05 | 10000 | 0.3630 | 0.6243 | 0.1316 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2 |