End of training

README.md

@@ -0,0 +1,70 @@
+---
+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 2 (500 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 2 (500 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: 0.0264
+- Wer: 0.8543
+
+## 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: 32
+- 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: 50
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0749        | 1.3514 | 100  | 0.1221          | 6.0701 |
+| 0.034         | 2.7027 | 200  | 0.0600          | 2.3381 |
+| 0.0171        | 4.0541 | 300  | 0.0346          | 1.0342 |
+| 0.0097        | 5.4054 | 400  | 0.0278          | 0.9442 |
+| 0.0087        | 6.7568 | 500  | 0.0264          | 0.8543 |
+
+
+### 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

@@ -0,0 +1,39 @@
+{
+  "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": [
+    "q_proj",
+    "k_proj",
+    "fc2",
+    "out_proj",
+    "fc1",
+    "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 sha256:4313725cc9a626e8015aeba61ef4d5f81b50d3d8cd881e101427a2962c6d8624
+size 13028552

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/Dec23_17-23-45_jarrett-ROG-Zephyrus-M16-GU604VI-GU604VI/events.out.tfevents.1734945831.jarrett-ROG-Zephyrus-M16-GU604VI-GU604VI.24694.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71f8b6f848ac6605b5aac7a07e0a16795c6bb0fab06ee3673704a28989308f7c
+size 6771

runs/Dec23_17-24-32_jarrett-ROG-Zephyrus-M16-GU604VI-GU604VI/events.out.tfevents.1734945877.jarrett-ROG-Zephyrus-M16-GU604VI-GU604VI.24694.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23ee3fb5926c975432072c7d5981e9190ca3d91a0e0edbf93d328f21fa7678fd
+size 12909

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25c9004083e5f28972dcf10316111d574562131b189eb8e1a2a5ccf4a53890f5
+size 5432