End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+language:
+- lv
+license: apache-2.0
+base_model: AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper large LV - Felikss Kleins
+  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. -->
+
+# Whisper large LV - Felikss Kleins
+
+This model is a fine-tuned version of [AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19](https://huggingface.co/AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19) on the Recorded Voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1620
+- Wer: 10.8617
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Use adamw_hf 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: 250
+- training_steps: 2500
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0032        | 36.0360 | 1000 | 0.1513          | 12.6354 |
+| 0.0007        | 72.0721 | 2000 | 0.1620          | 10.8617 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.4.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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+}

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