End of training

README.md

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+---
+library_name: peft
+language:
+- nl
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- base_model:adapter:openai/whisper-large-v2
+- lora
+- transformers
+datasets:
+- jasmin
+- jasmin-cgn
+metrics:
+- wer
+model-index:
+- name: whisper-new-nnat-20h-meta-seed333
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: JASMIN-CGN
+      type: jasmin
+    metrics:
+    - type: wer
+      value: 19.997190090385423
+      name: Wer
+---
+
+<!-- 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-new-nnat-20h-meta-seed333
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the JASMIN-CGN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4644
+- Wer: 19.9972
+
+## 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: 0.0001
+- train_batch_size: 48
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use adamw_torch_fused 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: 39
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 1.2682        | 0.3   | 39   | 0.9069          | 45.0616 |
+| 0.6645        | 0.6   | 78   | 0.5525          | 24.3245 |
+| 0.5616        | 0.9   | 117  | 0.5117          | 22.0344 |
+| 0.5156        | 1.2   | 156  | 0.4948          | 21.1867 |
+| 0.4889        | 1.5   | 195  | 0.4835          | 21.0228 |
+| 0.4997        | 1.8   | 234  | 0.4739          | 20.5732 |
+| 0.4574        | 2.1   | 273  | 0.4687          | 20.3718 |
+| 0.4434        | 2.4   | 312  | 0.4669          | 20.6013 |
+| 0.4495        | 2.7   | 351  | 0.4651          | 20.7886 |
+| 0.4197        | 3.0   | 390  | 0.4644          | 19.9972 |
+
+
+### Framework versions
+
+- PEFT 0.17.1
+- Transformers 4.57.6
+- Pytorch 2.8.0+cu128
+- Datasets 4.5.0
+- Tokenizers 0.22.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "WhisperForConditionalGeneration",
+    "parent_library": "transformers.models.whisper.modeling_whisper"
+  },
+  "base_model_name_or_path": "openai/whisper-large-v2",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 62969640

preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "dither": 0.0,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 80,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

training_args.bin

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