DazMashaly
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Delete output
Browse files- output/README.md +0 -57
- output/checkpoint-409/config.json +0 -154
- output/checkpoint-409/generation_config.json +0 -248
- output/checkpoint-409/model.safetensors +0 -3
- output/checkpoint-409/optimizer.pt +0 -3
- output/checkpoint-409/preprocessor_config.json +0 -14
- output/checkpoint-409/rng_state.pth +0 -3
- output/checkpoint-409/scheduler.pt +0 -3
- output/checkpoint-409/trainer_state.json +0 -155
- output/checkpoint-409/training_args.bin +0 -3
- output/checkpoint-818/config.json +0 -154
- output/checkpoint-818/generation_config.json +0 -248
- output/checkpoint-818/model.safetensors +0 -3
- output/checkpoint-818/optimizer.pt +0 -3
- output/checkpoint-818/preprocessor_config.json +0 -14
- output/checkpoint-818/rng_state.pth +0 -3
- output/checkpoint-818/scheduler.pt +0 -3
- output/checkpoint-818/trainer_state.json +0 -277
- output/checkpoint-818/training_args.bin +0 -3
- output/config.json +0 -154
- output/generation_config.json +0 -248
- output/model.safetensors +0 -3
- output/preprocessor_config.json +0 -14
- output/runs/Jun24_04-00-09_8216831c5b7d/events.out.tfevents.1719201634.8216831c5b7d.34.0 +0 -3
- output/training_args.bin +0 -3
output/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: output
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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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# output
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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: 5.5136
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- eval_wer: 1.0
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- eval_cer: 1.0
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- eval_runtime: 702.4432
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- eval_samples_per_second: 3.131
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- eval_steps_per_second: 0.026
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- epoch: 2.0
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- step: 818
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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: 1e-05
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- train_batch_size: 124
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- eval_batch_size: 128
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- seed: 42
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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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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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output/checkpoint-409/config.json
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output/checkpoint-409/generation_config.json
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