update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2-xls-r-300m-Russian-small
+  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-xls-r-300m-Russian-small
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3514
+- Wer: 0.4838
+
+## 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: 0.0003
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 5.512         | 1.32  | 400  | 3.2207          | 1.0    |
+| 3.1562        | 2.65  | 800  | 3.0166          | 1.0    |
+| 1.5211        | 3.97  | 1200 | 0.7134          | 0.8275 |
+| 0.6724        | 5.3   | 1600 | 0.4713          | 0.6402 |
+| 0.4693        | 6.62  | 2000 | 0.3904          | 0.5668 |
+| 0.3693        | 7.95  | 2400 | 0.3609          | 0.5121 |
+| 0.3004        | 9.27  | 2800 | 0.3514          | 0.4838 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.10.0+cu111
+- Datasets 1.14.0
+- Tokenizers 0.10.3