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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: Checkpoint_zaloAI_11_19_2022
+  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. -->
+
+# Checkpoint_zaloAI_11_19_2022
+
+This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.3926
+- eval_wer: 0.6743
+- eval_runtime: 23.1283
+- eval_samples_per_second: 39.865
+- eval_steps_per_second: 5.016
+- epoch: 25.07
+- step: 26000
+
+## 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: 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_steps: 1000
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.0
+- Tokenizers 0.13.2