---
license: apache-2.0
base_model: facebook/wav2vec2-large-lv60
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-lv60_scoring-phoneme-asr-timit_l2-english_nia037-saq-20s-11k_001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-lv60_scoring-phoneme-asr-timit_l2-english_nia037-saq-20s-11k_001

This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.5816
- eval_per: 0.2167
- eval_pcc: 0.7021
- eval_ctc_loss: 0.6796
- eval_mse_loss: 0.9020
- eval_runtime: 699.4014
- eval_samples_per_second: 2.133
- eval_steps_per_second: 2.133
- epoch: 8.09
- step: 6000

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- 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: 750
- training_steps: 7500

### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.2