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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - sw
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+ base_model: EYEDOL/FROM_C3_4
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+ tags:
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+ - hf-asr-leaderboard
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_13_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: ASR_FROM_C3
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Common Voice 13.0
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+ type: mozilla-foundation/common_voice_13_0
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+ config: sw
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+ split: None
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+ args: 'config: sw, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 17.669860078154546
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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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+ # ASR_FROM_C3
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+
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+ This model is a fine-tuned version of [EYEDOL/FROM_C3_4](https://huggingface.co/EYEDOL/FROM_C3_4) on the Common Voice 13.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2687
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+ - Wer: 17.6699
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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: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.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: 500
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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 | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.0239 | 0.6918 | 2000 | 0.2687 | 17.6699 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.4
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.2
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+ {
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+ "bos_token_id": 50257,
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+ "decoder_start_token_id": 50258,
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+ "eos_token_id": 50257,
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+ "lang_to_id": {
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+ "sw": 50357
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+ },
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+ "language": "sw",
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+ "pad_token_id": 50257,
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+ "task": "transcribe",
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+ "task_to_id": {
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+ "transcribe": 50359,
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+ "translate": 50358
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+ },
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+ "transformers_version": "4.52.4",
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+ "use_cache": false
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+ }
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