End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_1
+model-index:
+- name: xlsr_hindi_LMless_300m
+  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. -->
+
+# xlsr_hindi_LMless_300m
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9207
+- Wer : 0.4042
+
+## 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: 10
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 30
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 11.7707       | 3.6145  | 200  | 3.6870          | 1.0    |
+| 3.047         | 7.2289  | 400  | 1.6327          | 0.8998 |
+| 0.8469        | 10.8434 | 600  | 0.9648          | 0.5696 |
+| 0.3949        | 14.4578 | 800  | 0.8641          | 0.4718 |
+| 0.2465        | 18.0723 | 1000 | 0.8983          | 0.4442 |
+| 0.1692        | 21.6867 | 1200 | 0.9318          | 0.4260 |
+| 0.1307        | 25.3012 | 1400 | 0.9252          | 0.4097 |
+| 0.1041        | 28.9157 | 1600 | 0.9207          | 0.4042 |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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