dylanewbie
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End of training
Browse files- README.md +70 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- preprocessor_config.json +14 -0
- training_args.bin +3 -0
README.md
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---
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base_model: openai/whisper-large-v2
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library_name: peft
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: whisper-large-v2-ft-cv16-1__car50-car50-e3n4-n4r2-r2n2-format_copy2x_voiceless-241216-v1
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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-large-v2-ft-cv16-1__car50-car50-e3n4-n4r2-r2n2-format_copy2x_voiceless-241216-v1
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1061
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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: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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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_ratio: 0.2
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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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| 4.5518 | 1.0 | 70 | 2.3768 |
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| 1.3291 | 2.0 | 140 | 0.1430 |
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| 0.1495 | 3.0 | 210 | 0.1063 |
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| 0.1171 | 4.0 | 280 | 0.1024 |
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| 0.1009 | 5.0 | 350 | 0.1017 |
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| 0.0894 | 6.0 | 420 | 0.1024 |
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| 0.0801 | 7.0 | 490 | 0.1031 |
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| 0.0727 | 8.0 | 560 | 0.1044 |
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| 0.0682 | 9.0 | 630 | 0.1053 |
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| 0.0648 | 10.0 | 700 | 0.1061 |
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### Framework versions
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- PEFT 0.13.0
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- Transformers 4.45.1
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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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-v2",
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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": 4,
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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:e88f9dcf12aad045b6f170b6ce1cf653189aef9d88abc53e507b2d4b6fdf13dc
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size 7918280
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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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7d92bb53ba49c04bf7728c5019fd05917df7a902069d6ddb38c740459f46f32
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size 5624
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