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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-large-en-in-lm
+  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-large-en-in-lm
+
+This model is a fine-tuned version of [crossdelenna/wav2vec2-large-en-in-lm](https://huggingface.co/crossdelenna/wav2vec2-large-en-in-lm) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2060
+- Wer: 0.1601
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 6
+- total_train_batch_size: 96
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 21
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.3028        | 7.2   | 72   | 0.2263          | 0.1609 |
+| 0.2905        | 14.39 | 144  | 0.2060          | 0.1601 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1