End of training

README.md

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+---
+license: apache-2.0
+base_model: jonatasgrosman/wav2vec2-large-xlsr-53-french
+tags:
+- generated_from_trainer
+datasets:
+- minds14
+model-index:
+- name: asr_model_french
+  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. -->
+
+# asr_model_french
+
+This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-french](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-french) on the minds14 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.9463
+- eval_wer: 0.9535
+- eval_runtime: 0.8229
+- eval_samples_per_second: 7.292
+- eval_steps_per_second: 1.215
+- epoch: 333.3333
+- step: 500
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 250
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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