End of training

README.md

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+---
+library_name: peft
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small NSC part 1,2,3 (2000 steps) - Jarrett Er
+  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 Small NSC part 1,2,3 (2000 steps) - Jarrett Er
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0433
+- Wer: 2.0267
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.495         | 0.3802 | 100  | 0.4725          | 18.3452 |
+| 0.341         | 0.7605 | 200  | 0.3672          | 14.8558 |
+| 0.2351        | 1.1407 | 300  | 0.3015          | 13.4350 |
+| 0.1767        | 1.5209 | 400  | 0.2499          | 10.2382 |
+| 0.1626        | 1.9011 | 500  | 0.2045          | 9.2980  |
+| 0.094         | 2.2814 | 600  | 0.1609          | 7.1249  |
+| 0.0736        | 2.6616 | 700  | 0.1341          | 6.3101  |
+| 0.0524        | 3.0418 | 800  | 0.1073          | 4.1371  |
+| 0.0313        | 3.4221 | 900  | 0.0930          | 3.9908  |
+| 0.0257        | 3.8023 | 1000 | 0.0845          | 3.5311  |
+| 0.0154        | 4.1825 | 1100 | 0.0698          | 2.8625  |
+| 0.0137        | 4.5627 | 1200 | 0.0664          | 2.8207  |
+| 0.0206        | 4.9430 | 1300 | 0.0596          | 2.6536  |
+| 0.0101        | 5.3232 | 1400 | 0.0524          | 2.3611  |
+| 0.0083        | 5.7034 | 1500 | 0.0477          | 2.1312  |
+| 0.0084        | 6.0837 | 1600 | 0.0475          | 2.2984  |
+| 0.0065        | 6.4639 | 1700 | 0.0442          | 2.0685  |
+| 0.0067        | 6.8441 | 1800 | 0.0435          | 2.0476  |
+| 0.0059        | 7.2243 | 1900 | 0.0434          | 2.0267  |
+| 0.0062        | 7.6046 | 2000 | 0.0433          | 2.0267  |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.45.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.1.dev0
+- Tokenizers 0.20.3

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-small",
+  "bias": "none",
+  "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",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "fc2",
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "out_proj",
+    "fc1"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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preprocessor_config.json

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+{
+  "chunk_length": 30,
+  "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
+}

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training_args.bin

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