End of training
Browse files- README.md +60 -0
- all_results.json +10 -0
- config.json +1 -1
- eval_results.json +10 -0
- json/default-e1fa1bd3a5ee0c77/0.0.0/7483f22a71512872c377524b97484f6d20c275799bb9e7cd8fb3198178d8220a.incomplete_info.lock +0 -0
- json/default-e1fa1bd3a5ee0c77/0.0.0/7483f22a71512872c377524b97484f6d20c275799bb9e7cd8fb3198178d8220a/dataset_info.json +1 -0
- json/default-e1fa1bd3a5ee0c77/0.0.0/7483f22a71512872c377524b97484f6d20c275799bb9e7cd8fb3198178d8220a/json-train.arrow +3 -0
- json/default-e1fa1bd3a5ee0c77/0.0.0/7483f22a71512872c377524b97484f6d20c275799bb9e7cd8fb3198178d8220a_builder.lock +0 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: pd_warmup250
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results: []
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/priyanshipal/huggingface/runs/18ql5rrq)
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# pd_warmup250
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 21.9274
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- eval_model_preparation_time: 0.0061
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- eval_cer: 2.6007
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- eval_wer: 1.0
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- eval_runtime: 183.4843
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- eval_samples_per_second: 17.091
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- eval_steps_per_second: 1.068
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- step: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0006
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 400
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- gradient_accumulation_steps: 2
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- total_train_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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- lr_scheduler_warmup_steps: 250
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- num_epochs: 30.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.43.1
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- Pytorch 2.4.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"eval_cer": 2.600693686104438,
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"eval_loss": 21.927419662475586,
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"eval_model_preparation_time": 0.0061,
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"eval_runtime": 183.4843,
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"eval_samples": 3136,
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"eval_samples_per_second": 17.091,
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"eval_steps_per_second": 1.068,
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"eval_wer": 1.0
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}
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config.json
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{
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"_name_or_path": "/m/triton/scratch/elec/puhe/p/palp3/MUCS/
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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{
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"_name_or_path": "/m/triton/scratch/elec/puhe/p/palp3/MUCS/indicwav2vec_outputs/pd_warmup250",
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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eval_results.json
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{
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"eval_cer": 2.600693686104438,
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"eval_loss": 21.927419662475586,
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"eval_model_preparation_time": 0.0061,
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"eval_runtime": 183.4843,
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"eval_samples": 3136,
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"eval_samples_per_second": 17.091,
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"eval_steps_per_second": 1.068,
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"eval_wer": 1.0
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}
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json/default-e1fa1bd3a5ee0c77/0.0.0/7483f22a71512872c377524b97484f6d20c275799bb9e7cd8fb3198178d8220a.incomplete_info.lock
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