End of training

README.md

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+---
+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: 38.60045146726862
+      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: 0.6232
+- Wer: 38.6005
+- Cer: 25.6421
+- 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- 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: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     | Lr     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:------:|
+| 2.1513        | 1.0    | 128  | 1.3441          | 68.8488 | 39.3538 | 0.0001 |
+| 0.7324        | 2.0    | 256  | 0.8601          | 52.5959 | 33.6785 | 0.0002 |
+| 0.4633        | 3.0    | 384  | 0.6653          | 48.7585 | 33.4714 | 0.0003 |
+| 0.301         | 4.0    | 512  | 0.6633          | 39.5034 | 27.8790 | 0.0002 |
+| 0.1653        | 5.0    | 640  | 0.6030          | 42.2122 | 27.8376 | 0.0002 |
+| 0.1096        | 6.0    | 768  | 0.6118          | 38.1490 | 25.9321 | 0.0001 |
+| 0.0641        | 7.0    | 896  | 0.6399          | 39.5034 | 25.9321 | 0.0001 |
+| 0.042         | 7.9430 | 1016 | 0.6232          | 38.6005 | 25.6421 | 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

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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-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": [
+    "v_proj",
+    "q_proj",
+    "k_proj"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 56685000

training_args.bin

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