End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: openai/whisper-small
+datasets:
+- librispeech
+model-index:
+- name: Whisper Small English 1h
+  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 English 1h
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1760
+
+## 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: 8
+- 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: 50
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7144        | 1.0   | 39   | 1.4900          |
+| 0.4793        | 2.0   | 78   | 0.5925          |
+| 0.3478        | 3.0   | 117  | 0.5148          |
+| 0.2552        | 4.0   | 156  | 0.4314          |
+| 0.1964        | 5.0   | 195  | 0.1524          |
+| 0.0281        | 6.0   | 234  | 0.1534          |
+| 0.0254        | 7.0   | 273  | 0.1537          |
+| 0.0133        | 8.0   | 312  | 0.1613          |
+| 0.011         | 9.0   | 351  | 0.1601          |
+| 0.0088        | 10.0  | 390  | 0.1619          |
+| 0.007         | 11.0  | 429  | 0.1659          |
+| 0.0067        | 12.0  | 468  | 0.1647          |
+| 0.0056        | 13.0  | 507  | 0.1671          |
+| 0.0053        | 14.0  | 546  | 0.1683          |
+| 0.0047        | 15.0  | 585  | 0.1687          |
+| 0.0041        | 16.0  | 624  | 0.1703          |
+| 0.0037        | 17.0  | 663  | 0.1715          |
+| 0.0037        | 18.0  | 702  | 0.1721          |
+| 0.0035        | 19.0  | 741  | 0.1726          |
+| 0.0034        | 20.0  | 780  | 0.1730          |
+| 0.0032        | 21.0  | 819  | 0.1738          |
+| 0.0031        | 22.0  | 858  | 0.1741          |
+| 0.0033        | 23.0  | 897  | 0.1744          |
+| 0.003         | 24.0  | 936  | 0.1748          |
+| 0.0029        | 25.0  | 975  | 0.1756          |
+| 0.003         | 26.0  | 1014 | 0.1756          |
+| 0.0028        | 27.0  | 1053 | 0.1756          |
+| 0.0027        | 28.0  | 1092 | 0.1760          |
+| 0.0027        | 29.0  | 1131 | 0.1760          |
+| 0.0027        | 30.0  | 1170 | 0.1760          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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",
+  "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_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 14176064

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
+}

runs/May29_13-21-37_a100gpu3/events.out.tfevents.1716981721.a100gpu3.3419786.0

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runs/May29_13-35-43_a100gpu3/events.out.tfevents.1716982555.a100gpu3.3419786.1

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training_args.bin

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