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: LoRA-English-10m
+  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. -->
+
+# LoRA-English-10m
+
+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: 0.2052
+
+## 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: 0.001
+- 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: 40
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 6    | 2.4022          |
+| No log        | 2.0   | 12   | 1.7738          |
+| No log        | 3.0   | 18   | 1.0358          |
+| No log        | 4.0   | 24   | 0.7506          |
+| 0.9696        | 5.0   | 30   | 0.6126          |
+| 0.9696        | 6.0   | 36   | 0.5719          |
+| 0.9696        | 7.0   | 42   | 0.5161          |
+| 0.9696        | 8.0   | 48   | 0.3983          |
+| 0.2101        | 9.0   | 54   | 0.2375          |
+| 0.2101        | 10.0  | 60   | 0.2141          |
+| 0.2101        | 11.0  | 66   | 0.1953          |
+| 0.2101        | 12.0  | 72   | 0.1938          |
+| 0.0125        | 13.0  | 78   | 0.1997          |
+| 0.0125        | 14.0  | 84   | 0.2035          |
+| 0.0125        | 15.0  | 90   | 0.2038          |
+| 0.0125        | 16.0  | 96   | 0.2036          |
+| 0.0015        | 17.0  | 102  | 0.2023          |
+| 0.0015        | 18.0  | 108  | 0.2017          |
+| 0.0015        | 19.0  | 114  | 0.2016          |
+| 0.0015        | 20.0  | 120  | 0.2015          |
+| 0.0009        | 21.0  | 126  | 0.2017          |
+| 0.0009        | 22.0  | 132  | 0.2022          |
+| 0.0009        | 23.0  | 138  | 0.2025          |
+| 0.0009        | 24.0  | 144  | 0.2029          |
+| 0.0007        | 25.0  | 150  | 0.2033          |
+| 0.0007        | 26.0  | 156  | 0.2034          |
+| 0.0007        | 27.0  | 162  | 0.2036          |
+| 0.0007        | 28.0  | 168  | 0.2039          |
+| 0.0007        | 29.0  | 174  | 0.2042          |
+| 0.0007        | 30.0  | 180  | 0.2045          |
+| 0.0007        | 31.0  | 186  | 0.2047          |
+| 0.0007        | 32.0  | 192  | 0.2048          |
+| 0.0007        | 33.0  | 198  | 0.2048          |
+| 0.0006        | 34.0  | 204  | 0.2049          |
+| 0.0006        | 35.0  | 210  | 0.2049          |
+| 0.0006        | 36.0  | 216  | 0.2050          |
+| 0.0006        | 37.0  | 222  | 0.2051          |
+| 0.0006        | 38.0  | 228  | 0.2051          |
+| 0.0006        | 39.0  | 234  | 0.2052          |
+| 0.0006        | 40.0  | 240  | 0.2052          |
+
+
+### 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": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:aa456f274f0a7b4867a6c14bd6b2cb527604f3c1ec4601b63d34c13c4fe89cea
+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_10-29-33_a100gpu4/events.out.tfevents.1716971383.a100gpu4.379657.1

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training_args.bin

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