初始化项目，由ModelHub XC社区提供模型

Model: hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v4
Source: Original Platform

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-xlsr-moroccan-darija-v4
+  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-large-xlsr-moroccan-darija-v4
+
+This model is a fine-tuned version of [hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v3](https://huggingface.co/hassanaitnacer/wav2vec2-large-xlsr-moroccan-darija-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0394
+- Wer: 0.0816
+
+## 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: 16
+- 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: 500
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0512        | 1.0225 | 500  | 0.0410          | 0.0872 |
+| 0.0629        | 2.0450 | 1000 | 0.0508          | 0.0844 |
+| 0.0384        | 3.0675 | 1500 | 0.0394          | 0.0816 |
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1