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yesj1234
/
jako_xlsr_100p_run2

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
./train_dataset.py
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. README.md +58 -0
  2. added_tokens.json +4 -0
  3. all_results.json +8 -0
  4. checkpoint-804146/added_tokens.json +4 -0
  5. checkpoint-804146/config.json +117 -0
  6. checkpoint-804146/model.safetensors +3 -0
  7. checkpoint-804146/optimizer.pt +3 -0
  8. checkpoint-804146/preprocessor_config.json +10 -0
  9. checkpoint-804146/rng_state_0.pth +3 -0
  10. checkpoint-804146/rng_state_1.pth +3 -0
  11. checkpoint-804146/rng_state_2.pth +3 -0
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  32. checkpoint-837650/training_args.bin +3 -0
  33. checkpoint-837650/vocab.json +3303 -0
  34. config.json +117 -0
  35. model.safetensors +3 -0
  36. preprocessor_config.json +10 -0
  37. special_tokens_map.json +30 -0
  38. tokenizer_config.json +51 -0
  39. train_results.json +8 -0
  40. trainer_state.json +1711 -0
  41. training_args.bin +3 -0
  42. vocab.json +3303 -0
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+ ---
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+ base_model: jako_xlsr_100p_run1
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+ tags:
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+ - automatic-speech-recognition
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+ - ./train_dataset.py
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+ - generated_from_trainer
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+ model-index:
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+ - name: jako_xlsr_100p_run1
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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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+ # jako_xlsr_100p_run1
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+
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+ This model is a fine-tuned version of [jako_xlsr_100p_run1](https://huggingface.co/jako_xlsr_100p_run1) on the ./TRAIN_DATASET.PY - NA dataset.
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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: 5.064680186549053e-07
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 32
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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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+ - num_epochs: 25
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+
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+ ### Training results
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+
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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 2.1.1+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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