Samandards
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Samandards/fine-tune-300
Browse files- README.md +5 -5
- adapter_config.json +5 -5
- adapter_model.safetensors +2 -2
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- runs/Jun27_11-44-16_ee932f09385c/events.out.tfevents.1719488658.ee932f09385c.23217.2 +3 -0
- runs/Jun27_11-44-34_ee932f09385c/events.out.tfevents.1719488676.ee932f09385c.23217.3 +3 -0
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- runs/Jun27_11-45-12_ee932f09385c/events.out.tfevents.1719488714.ee932f09385c.23217.5 +3 -0
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- runs/Jun27_11-49-12_ee932f09385c/events.out.tfevents.1719488953.ee932f09385c.31350.0 +3 -0
- training_args.bin +1 -1
README.md
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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 common_voice_14_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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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 common_voice_14_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0663
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## Model description
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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: 2
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- eval_batch_size: 2
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.2676 | 1.0 | 151 | 1.1656 |
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| 0.8175 | 2.0 | 302 | 1.0663 |
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### Framework versions
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adapter_config.json
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{
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"peft_type": "LORA",
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"target_modules": [
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{
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"alpha_pattern": {},
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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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"layers_pattern": null,
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"loftq_config": {},
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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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adapter_model.safetensors
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