LevonHakobyan
/

head_l23_cos_anneal_2

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 ---
-library_name: transformers
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 ---
+license: mit
+base_model: facebook/w2v-bert-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+model-index:
+- name: head_l23_cos_anneal_2
+  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. -->
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/levonhakobyan7-USC/huggingface/runs/nmv5e24y)
+# head_l23_cos_anneal_2
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.2120
+- eval_wer: 0.9981
+- eval_cer: 0.4183
+- eval_runtime: 72.4648
+- eval_samples_per_second: 59.077
+- eval_steps_per_second: 7.397
+- epoch: 104.6154
+- step: 34000
+## 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: 5e-05
+- 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
+- num_epochs: 154
+- mixed_precision_training: Native AMP
+### Framework versions
+- Transformers 4.42.3
+- Pytorch 2.3.1
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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