Model save
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README.md
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---
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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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base_model: openai/whisper-large
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model-index:
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- name: output_0323
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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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# output_0323
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2964
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 1
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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: 5
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- num_epochs: 3
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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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| No log | 1.0 | 11 | 1.3813 |
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| No log | 2.0 | 22 | 1.3261 |
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| 1.3369 | 3.0 | 33 | 1.2964 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.40.0.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-large",
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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 sha256:50ecfbe8af3cc42458362140e5847bf87b5ef19992feb140f0b02662eb1efd15
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size 62969640
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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/Mar24_07-47-38_5af19e7a6d4f/events.out.tfevents.1711266463.5af19e7a6d4f.1440.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:23b365bc5d87818c6de856f190440bad8b3215b9b95cac6e5679cb98f21a8394
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size 7367
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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:b5f8daf1d3a20f2a8de7ea7326fa06907104b8e55f21f29e3d7e66165ef117e0
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size 5048
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