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lnxdx
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B4_1000_1e-5_hp-myself-2

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Community
lnxdx commited on
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Files changed (11) hide show
  1. README.md +72 -0
  2. all_results.json +9 -0
  3. config.json +116 -0
  4. model.safetensors +3 -0
  5. preprocessor_config.json +10 -0
  6. special_tokens_map.json +30 -0
  7. tokenizer_config.json +48 -0
  8. train_results.json +9 -0
  9. trainer_state.json +178 -0
  10. training_args.bin +3 -0
  11. vocab.json +42 -0
README.md ADDED
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+ ---
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+ base_model: lnxdx/20_2000_1e-5_hp-mehrdad
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: B4_1000_1e-5_hp-myself-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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+ # B4_1000_1e-5_hp-myself-2
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+
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+ This model is a fine-tuned version of [lnxdx/20_2000_1e-5_hp-mehrdad](https://huggingface.co/lnxdx/20_2000_1e-5_hp-mehrdad) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6706
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+ - Wer: 0.3131
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 500
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+ - training_steps: 1000
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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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+ | 0.8083 | 0.62 | 100 | 0.6766 | 0.3271 |
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+ | 0.8414 | 1.25 | 200 | 0.6774 | 0.3259 |
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+ | 0.8465 | 1.88 | 300 | 0.6686 | 0.3262 |
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+ | 0.7819 | 2.5 | 400 | 0.6749 | 0.3207 |
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+ | 0.7905 | 3.12 | 500 | 0.6848 | 0.3178 |
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+ | 0.8078 | 3.75 | 600 | 0.6571 | 0.3245 |
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+ | 0.7771 | 4.38 | 700 | 0.6683 | 0.3145 |
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+ | 0.7786 | 5.0 | 800 | 0.6688 | 0.3137 |
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+ | 0.7656 | 5.62 | 900 | 0.6703 | 0.3134 |
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+ | 0.7516 | 6.25 | 1000 | 0.6706 | 0.3131 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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