End of training

README.md

@@ -0,0 +1,93 @@
+---
+library_name: peft
+language:
+- it
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+datasets:
+- b-brave-balanced-augmented
+metrics:
+- wer
+model-index:
+- name: Whisper Medium IT
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: b-brave-balanced-augmented
+      type: b-brave-balanced-augmented
+    metrics:
+    - type: wer
+      value: 37.471783295711056
+      name: Wer
+---
+
+<!-- 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 Medium IT
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-balanced-augmented dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5097
+- Wer: 37.4718
+- Cer: 25.0621
+- Lr: 0.0000
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.3
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer      | Lr     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:|
+| 0.9163        | 1.0     | 413  | 0.8402          | 59.8194  | 36.7854  | 0.0001 |
+| 0.5141        | 2.0     | 826  | 0.5758          | 116.7043 | 100.3728 | 0.0002 |
+| 0.4624        | 3.0     | 1239 | 0.5542          | 181.9413 | 220.1740 | 0.0002 |
+| 0.2622        | 4.0     | 1652 | 0.5540          | 36.7946  | 24.9379  | 0.0003 |
+| 0.1687        | 5.0     | 2065 | 0.5141          | 93.4537  | 81.3173  | 0.0002 |
+| 0.0797        | 6.0     | 2478 | 0.5233          | 34.9887  | 24.7307  | 0.0002 |
+| 0.0367        | 7.0     | 2891 | 0.5124          | 36.3431  | 25.2693  | 0.0002 |
+| 0.0264        | 8.0     | 3304 | 0.5188          | 35.2144  | 23.4880  | 0.0001 |
+| 0.0108        | 9.0     | 3717 | 0.4938          | 33.6343  | 23.1152  | 0.0001 |
+| 0.0084        | 10.0    | 4130 | 0.5044          | 37.9233  | 25.1450  | 0.0001 |
+| 0.0014        | 11.0    | 4543 | 0.5071          | 37.2460  | 25.0621  | 0.0000 |
+| 0.0017        | 11.9721 | 4944 | 0.5097          | 37.4718  | 25.0621  | 0.0000 |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.49.0
+- Pytorch 2.2.0
+- Datasets 3.3.2
+- Tokenizers 0.21.1

adapter_config.json

@@ -0,0 +1,36 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "WhisperForConditionalGeneration",
+    "parent_library": "transformers.models.whisper.modeling_whisper"
+  },
+  "base_model_name_or_path": "openai/whisper-medium",
+  "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": 0.3,
+  "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",
+    "k_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:d1062013ecc1984e7bf409fca9dca578b1067cbe9b929dd5f5e16284db1869d6
+size 56685000

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c753fcd7426b7bad98d493ae6dbfb1ca0e2a5f41b9254a47ba0b73e23d078cdd
+size 5496