End of training

README.md

@@ -0,0 +1,58 @@
+---
+library_name: transformers
+license: mit
+base_model: unsloth/whisper-large-v3-turbo
+tags:
+- unsloth
+- generated_from_trainer
+model-index:
+- name: language_classification_curricular_checkpoints
+  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. -->
+
+# language_classification_curricular_checkpoints
+
+This model is a fine-tuned version of [unsloth/whisper-large-v3-turbo](https://huggingface.co/unsloth/whisper-large-v3-turbo) on an unknown dataset.
+
+## 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: 0.0002
+- train_batch_size: 6
+- eval_batch_size: 1
+- seed: 3407
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 24
+- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 69
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.56.2
+- Pytorch 2.9.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.22.2

generation_config.json

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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": null,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "max_initial_timestamp_index": 50,
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+  "no_timestamps_token_id": 50364,
+  "pad_token_id": 50257,
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+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
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+  "transformers_version": "4.56.2"
+}

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