End of training

README.md

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+---
+base_model: openai/whisper-small
+datasets:
+- mozilla-foundation/common_voice_11_0
+language:
+- mr
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: MarathiLORA_test
+  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. -->
+
+# MarathiLORA_test
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3212
+
+## 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: 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
+- training_steps: 3000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1553        | 0.2037 | 100  | 0.7732          |
+| 0.6893        | 0.4073 | 200  | 0.6536          |
+| 0.5571        | 0.6110 | 300  | 0.4662          |
+| 0.438         | 0.8147 | 400  | 0.4299          |
+| 0.3976        | 1.0183 | 500  | 0.4117          |
+| 0.3582        | 1.2220 | 600  | 0.3969          |
+| 0.3537        | 1.4257 | 700  | 0.3871          |
+| 0.3379        | 1.6293 | 800  | 0.3749          |
+| 0.3182        | 1.8330 | 900  | 0.3629          |
+| 0.3198        | 2.0367 | 1000 | 0.3572          |
+| 0.2771        | 2.2403 | 1100 | 0.3505          |
+| 0.2886        | 2.4440 | 1200 | 0.3482          |
+| 0.2707        | 2.6477 | 1300 | 0.3457          |
+| 0.2777        | 2.8513 | 1400 | 0.3406          |
+| 0.2615        | 3.0550 | 1500 | 0.3337          |
+| 0.2361        | 3.2587 | 1600 | 0.3320          |
+| 0.2436        | 3.4623 | 1700 | 0.3319          |
+| 0.2375        | 3.6660 | 1800 | 0.3284          |
+| 0.2321        | 3.8697 | 1900 | 0.3282          |
+| 0.224         | 4.0733 | 2000 | 0.3255          |
+| 0.211         | 4.2770 | 2100 | 0.3270          |
+| 0.203         | 4.4807 | 2200 | 0.3257          |
+| 0.2074        | 4.6843 | 2300 | 0.3227          |
+| 0.2185        | 4.8880 | 2400 | 0.3234          |
+| 0.2117        | 5.0916 | 2500 | 0.3232          |
+| 0.1913        | 5.2953 | 2600 | 0.3228          |
+| 0.1921        | 5.4990 | 2700 | 0.3219          |
+| 0.1888        | 5.7026 | 2800 | 0.3217          |
+| 0.1925        | 5.9063 | 2900 | 0.3216          |
+| 0.1955        | 6.1100 | 3000 | 0.3212          |
+
+
+### Framework versions
+
+- PEFT 0.12.1.dev0
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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-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

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+size 14176064

preprocessor_config.json

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+{
+  "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
+}

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training_args.bin

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