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Model: Khalsuu/filipino-wav2vec2-l-xls-r-300m-official Source: Original Platform
2026-10-16 06:22:16 +08:00
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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- filipino_voice
+model-index:
+- name: filipino-wav2vec2-l-xls-r-300m-official
+  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. -->
+
+# filipino-wav2vec2-l-xls-r-300m-official
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the filipino_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4672
+- Wer: 0.2922
+
+## 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: 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: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.3671        | 2.09  | 400  | 0.5584          | 0.5987 |
+| 0.48          | 4.19  | 800  | 0.4244          | 0.4195 |
+| 0.2796        | 6.28  | 1200 | 0.3742          | 0.3765 |
+| 0.1916        | 8.38  | 1600 | 0.4291          | 0.3667 |
+| 0.1463        | 10.47 | 2000 | 0.3745          | 0.3415 |
+| 0.1165        | 12.57 | 2400 | 0.4472          | 0.3407 |
+| 0.0955        | 14.66 | 2800 | 0.4269          | 0.3290 |
+| 0.0823        | 16.75 | 3200 | 0.4608          | 0.3475 |
+| 0.0709        | 18.85 | 3600 | 0.4706          | 0.3281 |
+| 0.0603        | 20.94 | 4000 | 0.4380          | 0.3183 |
+| 0.0527        | 23.04 | 4400 | 0.4473          | 0.3067 |
+| 0.0449        | 25.13 | 4800 | 0.4550          | 0.3029 |
+| 0.041         | 27.23 | 5200 | 0.4671          | 0.3020 |
+| 0.0358        | 29.32 | 5600 | 0.4672          | 0.2922 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.10.0+cu113
+- Datasets 1.18.3
+- Tokenizers 0.10.3