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eolang
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sw-peft-lora

PEFT
TensorBoard
Safetensors
Swahili
Generated from Trainer
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  1. README.md +116 -0
  2. adapter_config.json +35 -0
  3. adapter_model.safetensors +3 -0
  4. preprocessor_config.json +14 -0
  5. runs/Mar29_07-14-17_073f1c70a700/events.out.tfevents.1743232566.073f1c70a700.2147.0 +3 -0
  6. runs/Mar29_07-17-25_073f1c70a700/events.out.tfevents.1743232653.073f1c70a700.2147.1 +3 -0
  7. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: peft
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+ language:
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+ - sw
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+ license: apache-2.0
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+ base_model: openai/whisper-medium
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - fsicoli/common_voice_19_0
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+ model-index:
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+ - name: eolang/sw-peft-2
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+ results: []
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+ ---
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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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+
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+ # eolang/sw-peft-2
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+
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 19 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3697
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.5084 | 0.0191 | 100 | 1.0225 |
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+ | 0.9199 | 0.0382 | 200 | 0.9041 |
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+ | 0.8295 | 0.0573 | 300 | 0.8428 |
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+ | 0.8404 | 0.0764 | 400 | 0.8142 |
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+ | 0.8215 | 0.0955 | 500 | 0.8141 |
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+ | 0.7527 | 0.1147 | 600 | 0.7640 |
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+ | 0.7494 | 0.1338 | 700 | 0.7652 |
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+ | 0.7693 | 0.1529 | 800 | 0.7081 |
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+ | 0.7104 | 0.1720 | 900 | 0.7238 |
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+ | 0.6975 | 0.1911 | 1000 | 0.6990 |
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+ | 0.7164 | 0.2102 | 1100 | 0.7002 |
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+ | 0.6693 | 0.2293 | 1200 | 0.6842 |
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+ | 0.7043 | 0.2484 | 1300 | 0.6831 |
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+ | 0.6521 | 0.2675 | 1400 | 0.6527 |
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+ | 0.6468 | 0.2866 | 1500 | 0.6563 |
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+ | 0.6376 | 0.3058 | 1600 | 0.6180 |
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+ | 0.6008 | 0.3249 | 1700 | 0.6223 |
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+ | 0.6353 | 0.3440 | 1800 | 0.6113 |
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+ | 0.5885 | 0.3631 | 1900 | 0.6033 |
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+ | 0.598 | 0.3822 | 2000 | 0.5987 |
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+ | 0.5749 | 0.4013 | 2100 | 0.5792 |
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+ | 0.5714 | 0.4204 | 2200 | 0.5772 |
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+ | 0.5438 | 0.4395 | 2300 | 0.5688 |
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+ | 0.5442 | 0.4586 | 2400 | 0.5711 |
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+ | 0.5165 | 0.4777 | 2500 | 0.5588 |
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+ | 0.4971 | 0.4968 | 2600 | 0.5408 |
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+ | 0.5026 | 0.5160 | 2700 | 0.5365 |
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+ | 0.5278 | 0.5351 | 2800 | 0.5112 |
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+ | 0.5371 | 0.5542 | 2900 | 0.5160 |
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+ | 0.5013 | 0.5733 | 3000 | 0.5041 |
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+ | 0.4867 | 0.5924 | 3100 | 0.4978 |
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+ | 0.4938 | 0.6115 | 3200 | 0.4830 |
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+ | 0.4522 | 0.6306 | 3300 | 0.4798 |
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+ | 0.4515 | 0.6497 | 3400 | 0.4751 |
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+ | 0.4593 | 0.6688 | 3500 | 0.4631 |
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+ | 0.4539 | 0.6879 | 3600 | 0.4561 |
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+ | 0.4557 | 0.7071 | 3700 | 0.4467 |
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+ | 0.417 | 0.7262 | 3800 | 0.4419 |
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+ | 0.4251 | 0.7453 | 3900 | 0.4368 |
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+ | 0.4062 | 0.7644 | 4000 | 0.4277 |
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+ | 0.3815 | 0.7835 | 4100 | 0.4271 |
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+ | 0.3832 | 0.8026 | 4200 | 0.4155 |
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+ | 0.3818 | 0.8217 | 4300 | 0.4098 |
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+ | 0.3988 | 0.8408 | 4400 | 0.4005 |
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+ | 0.4073 | 0.8599 | 4500 | 0.3964 |
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+ | 0.3894 | 0.8790 | 4600 | 0.3898 |
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+ | 0.3464 | 0.8981 | 4700 | 0.3858 |
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+ | 0.3626 | 0.9173 | 4800 | 0.3800 |
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+ | 0.3753 | 0.9364 | 4900 | 0.3771 |
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+ | 0.3734 | 0.9555 | 5000 | 0.3733 |
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+ | 0.3362 | 0.9746 | 5100 | 0.3718 |
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+ | 0.3607 | 0.9937 | 5200 | 0.3697 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.0
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.3.1
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+ - Tokenizers 0.21.0
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+ "lora_bias": false,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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