SasiVardhan
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End of training
Browse files- README.md +74 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- preprocessor_config.json +14 -0
- runs/Mar14_15-28-15_132eda43062e/events.out.tfevents.1710430582.132eda43062e.255.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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datasets:
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- PolyAI/minds14
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base_model: openai/whisper-small
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model-index:
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- name: Whisper Small Finetuned - SasiVardhan
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Small Finetuned - SasiVardhan
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the minds 14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7070
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9334 | 1.0 | 56 | 0.5490 |
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| 0.3311 | 2.0 | 112 | 0.4733 |
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| 0.1602 | 3.0 | 168 | 0.5424 |
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| 0.0487 | 4.0 | 224 | 0.5561 |
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| 0.0253 | 5.0 | 280 | 0.6136 |
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| 0.0064 | 6.0 | 336 | 0.6719 |
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| 0.0043 | 7.0 | 392 | 0.6661 |
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| 0.0045 | 8.0 | 448 | 0.6927 |
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| 0.0017 | 9.0 | 504 | 0.7012 |
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| 0.0014 | 10.0 | 560 | 0.7070 |
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### Framework versions
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- PEFT 0.9.1.dev0
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-small",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e93ae0a90687a9f052f335051825368eb934bc67c0f1fe9e402957e5327e66d5
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size 14176064
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preprocessor_config.json
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{
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"chunk_length": 30,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 80,
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"hop_length": 160,
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"n_fft": 400,
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"n_samples": 480000,
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"nb_max_frames": 3000,
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "WhisperProcessor",
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/Mar14_15-28-15_132eda43062e/events.out.tfevents.1710430582.132eda43062e.255.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1c3f9767cf052798142848a40254159ccc0e6230d1318e9353ce32ae568e581
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size 13531
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:343ef31a5963bae191e719a0919122ede11166453b535611b2284be540a5c4e2
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size 5048
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