End of training

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: openai/whisper-small
+datasets:
+- mozilla-foundation/common_voice_6_1
+model-index:
+- name: LoRA-Frisian-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. -->
+
+# LoRA-Frisian-1h
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_6_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8286
+
+## 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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6913        | 1.0   | 89   | 1.1389          |
+| 0.6757        | 2.0   | 178  | 0.9073          |
+| 0.3686        | 3.0   | 267  | 0.8561          |
+| 0.2062        | 4.0   | 356  | 0.8493          |
+| 0.11          | 5.0   | 445  | 0.8448          |
+| 0.0652        | 6.0   | 534  | 0.8446          |
+| 0.0393        | 7.0   | 623  | 0.8239          |
+| 0.0205        | 8.0   | 712  | 0.8243          |
+| 0.0137        | 9.0   | 801  | 0.8279          |
+| 0.0095        | 10.0  | 890  | 0.8105          |
+| 0.0065        | 11.0  | 979  | 0.8192          |
+| 0.0076        | 12.0  | 1068 | 0.8240          |
+| 0.006         | 13.0  | 1157 | 0.8255          |
+| 0.0048        | 14.0  | 1246 | 0.8272          |
+| 0.0038        | 15.0  | 1335 | 0.8286          |
+
+
+### 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

@@ -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-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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dd02a20b1a2ae354bdfa5676d6fd64378d5582f9debfa90d9c23cdf721db1d7
+size 14176064

preprocessor_config.json

@@ -0,0 +1,14 @@
+{
+  "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/May25_14-53-07_a100gpu3/events.out.tfevents.1716641630.a100gpu3.378131.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a3ed4f9b9985e96a7dd919b7f7e1bc2ba0df3d67823198ca588a72fab11c052
+size 7243

runs/May25_15-14-47_a100gpu3/events.out.tfevents.1716642897.a100gpu3.406714.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:88067ea7892e87c09c049078d240418545dc03974d1aa818bb53fe543eae1f42
+size 21097

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae758c0be371042f0d8c7a1c65aabd124c532001c98911878e1677572c66f145
+size 5176