End of training

README.md

@@ -0,0 +1,117 @@
+---
+library_name: peft
+language:
+- ms
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- clt013/malay-speech-3k-rows-dataset_v2
+model-index:
+- name: Whisper Large v3 FT Malay - CLT013
+  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 Large v3 FT Malay - CLT013
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Malay Speech 3k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4149
+
+## 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: 1e-05
+- 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: 100
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 2.6257        | 0.3731  | 100  | 2.4258          |
+| 2.3394        | 0.7463  | 200  | 1.7629          |
+| 1.5256        | 1.1194  | 300  | 1.1983          |
+| 1.0648        | 1.4925  | 400  | 0.9111          |
+| 0.7458        | 1.8657  | 500  | 0.5754          |
+| 0.5287        | 2.2388  | 600  | 0.5316          |
+| 1.0221        | 2.6119  | 700  | 1.6308          |
+| 0.9045        | 2.9851  | 800  | 0.4655          |
+| 0.3766        | 3.3582  | 900  | 0.4186          |
+| 0.3767        | 3.7313  | 1000 | 0.4082          |
+| 0.355         | 4.1045  | 1100 | 0.4022          |
+| 0.3284        | 4.4776  | 1200 | 0.3996          |
+| 0.3229        | 4.8507  | 1300 | 0.3928          |
+| 0.318         | 5.2239  | 1400 | 0.3925          |
+| 0.3083        | 5.5970  | 1500 | 0.3905          |
+| 0.3035        | 5.9701  | 1600 | 0.3900          |
+| 0.2792        | 6.3433  | 1700 | 0.3897          |
+| 0.2948        | 6.7164  | 1800 | 0.3872          |
+| 0.2537        | 7.0896  | 1900 | 0.3869          |
+| 0.2703        | 7.4627  | 2000 | 0.3907          |
+| 0.2696        | 7.8358  | 2100 | 0.3891          |
+| 0.2672        | 8.2090  | 2200 | 0.3923          |
+| 0.2645        | 8.5821  | 2300 | 0.3900          |
+| 0.2419        | 8.9552  | 2400 | 0.3894          |
+| 0.2361        | 9.3284  | 2500 | 0.3928          |
+| 0.2361        | 9.7015  | 2600 | 0.3915          |
+| 0.2229        | 10.0746 | 2700 | 0.3922          |
+| 0.2151        | 10.4478 | 2800 | 0.3962          |
+| 0.248         | 10.8209 | 2900 | 0.3945          |
+| 0.2152        | 11.1940 | 3000 | 0.3981          |
+| 0.2144        | 11.5672 | 3100 | 0.4012          |
+| 0.2278        | 11.9403 | 3200 | 0.3970          |
+| 0.2017        | 12.3134 | 3300 | 0.4002          |
+| 0.216         | 12.6866 | 3400 | 0.4018          |
+| 0.2166        | 13.0597 | 3500 | 0.4013          |
+| 0.2176        | 13.4328 | 3600 | 0.4043          |
+| 0.2002        | 13.8060 | 3700 | 0.4054          |
+| 0.1752        | 14.1791 | 3800 | 0.4066          |
+| 0.1892        | 14.5522 | 3900 | 0.4048          |
+| 0.2121        | 14.9254 | 4000 | 0.4078          |
+| 0.209         | 15.2985 | 4100 | 0.4069          |
+| 0.1857        | 15.6716 | 4200 | 0.4079          |
+| 0.1867        | 16.0448 | 4300 | 0.4097          |
+| 0.1833        | 16.4179 | 4400 | 0.4093          |
+| 0.1918        | 16.7910 | 4500 | 0.4130          |
+| 0.1815        | 17.1642 | 4600 | 0.4123          |
+| 0.1854        | 17.5373 | 4700 | 0.4135          |
+| 0.181         | 17.9104 | 4800 | 0.4131          |
+| 0.1756        | 18.2836 | 4900 | 0.4130          |
+| 0.177         | 18.6567 | 5000 | 0.4143          |
+| 0.1829        | 19.0299 | 5100 | 0.4137          |
+| 0.1809        | 19.4030 | 5200 | 0.4163          |
+| 0.1777        | 19.7761 | 5300 | 0.4149          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,32 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "WhisperForConditionalGeneration",
+    "parent_library": "transformers.models.whisper.modeling_whisper"
+  },
+  "base_model_name_or_path": "openai/whisper-large-v3",
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6c389622c1c0b6b8af298050d85522a4a289ed1cec0a7f97448b15177abc72a
+size 62969640

preprocessor_config.json

@@ -0,0 +1,14 @@
+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 128,
+  "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/Oct20_10-45-40_cb4d8a5b1987/events.out.tfevents.1729421160.cb4d8a5b1987.735.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:025259177d2a75be4c986526a3d3be5317efc8e55b002625c68b118d87336d26
+size 32142

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7fda5afae55f682e1f272b26919b036ea6ea345baf0f168f20f8168e314f784d
+size 5368