End of training

README.md

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+---
+language:
+- gn
+license: apache-2.0
+base_model: glob-asr/wav2vec2-large-xls-r-300m-guarani-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
+model-index:
+- name: Common Voice 16 - Guarani8
+  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. -->
+
+# Common Voice 16 - Guarani8
+
+This model is a fine-tuned version of [glob-asr/wav2vec2-large-xls-r-300m-guarani-small](https://huggingface.co/glob-asr/wav2vec2-large-xls-r-300m-guarani-small) on the Common Voice 16 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3202
+- Cer: 7.2954
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4174        | 1.01  | 100  | 0.3535          | 8.1385 |
+| 0.3411        | 2.02  | 200  | 0.3387          | 7.8574 |
+| 0.2905        | 3.03  | 300  | 0.3278          | 7.6076 |
+| 0.2591        | 4.04  | 400  | 0.3214          | 7.3734 |
+| 0.251         | 5.05  | 500  | 0.3202          | 7.2954 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2