Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-common_voice-en-demo-1
+  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-common_voice-en-demo-1
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
+
+## 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: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.9523809523809526,
+    "total_flos": 5.949146211248116e+17,
+    "train_loss": 10.376545229265767,
+    "train_runtime": 223.9196,
+    "train_samples_per_second": 13.398,
+    "train_steps_per_second": 0.415
+}

train_results.json

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+{
+    "epoch": 2.9523809523809526,
+    "total_flos": 5.949146211248116e+17,
+    "train_loss": 10.376545229265767,
+    "train_runtime": 223.9196,
+    "train_samples_per_second": 13.398,
+    "train_steps_per_second": 0.415
+}