salom

README.md

@@ -0,0 +1,73 @@
+---
+language:
+- uz
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_10_0
+- generated_from_trainer
+datasets:
+- common_voice_10_0
+model-index:
+- name: uzbek_stt_5_version
+  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. -->
+
+# uzbek_stt_5_version
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - UZ dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8085
+- Wer: 0.9421
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 64
+- total_eval_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: 30.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.3452        | 5.45  | 5000  | 0.3839          | 0.4574 |
+| 0.2466        | 10.91 | 10000 | 0.4011          | 0.4067 |
+| 1.5753        | 16.36 | 15000 | 1.2937          | 0.8844 |
+| 1.9454        | 21.81 | 20000 | 1.8227          | 0.9392 |
+| 1.922         | 27.26 | 25000 | 1.8085          | 0.9421 |
+
+
+### Framework versions
+
+- Transformers 4.22.0.dev0
+- Pytorch 1.10.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1

added_tokens.json

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all_results.json

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+}

config.json

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preprocessor_config.json

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tokenizer_config.json

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