End of training

README.md

@@ -0,0 +1,62 @@
+---
+language:
+- mn
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_1
+model-index:
+- name: Whisper_Large_Mongolian
+  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_Mongolian
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3309
+- eval_wer: 29.1925
+- eval_runtime: 1202.8614
+- eval_samples_per_second: 1.539
+- eval_steps_per_second: 0.193
+- epoch: 5.64
+- step: 3000
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+  "is_multilingual": true,
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+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.39.3"
+}

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