Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: xls-r-300m-nyagen-combined-hp-tuning-test-model
+  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. -->
+
+# xls-r-300m-nyagen-combined-hp-tuning-test-model
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2689
+- Wer: 0.2675
+
+## 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: 0.0009268613959558291
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| No log        | 2.2254  | 100  | 2.9001          | 1.0    |
+| No log        | 4.4507  | 200  | 0.8376          | 0.7849 |
+| No log        | 6.6761  | 300  | 0.3087          | 0.4330 |
+| No log        | 8.9014  | 400  | 0.2516          | 0.3765 |
+| 30.7137       | 11.1127 | 500  | 0.2612          | 0.3434 |
+| 30.7137       | 13.3380 | 600  | 0.2403          | 0.3230 |
+| 30.7137       | 15.5634 | 700  | 0.2480          | 0.3156 |
+| 30.7137       | 17.7887 | 800  | 0.2546          | 0.2939 |
+| 30.7137       | 20.0    | 900  | 0.2638          | 0.2919 |
+| 1.8035        | 22.2254 | 1000 | 0.2689          | 0.2675 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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runs/Jan26_00-13-00_srvrocgpu011.uct.ac.za/events.out.tfevents.1737909712.srvrocgpu011.uct.ac.za

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