Training in progress, step 500

.ipynb_checkpoints/README-checkpoint.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2-base-gn-demo
+  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-base-gn-demo
+
+This model is a fine-tuned version of [azuur/wav2vec2-base-gn-demo](https://huggingface.co/azuur/wav2vec2-base-gn-demo) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2750
+- Wer: 0.7912
+
+## 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: 0.0002
+- 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: 300
+- num_epochs: 55
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.07          | 13.16 | 500  | 1.3797          | 0.8293 |
+| 0.0711        | 26.32 | 1000 | 1.2878          | 0.8277 |
+| 0.0454        | 39.47 | 1500 | 1.2782          | 0.7973 |
+| 0.0281        | 52.63 | 2000 | 1.2750          | 0.7912 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.3
+- Tokenizers 0.10.3

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