DazMashaly
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DazMashaly/checkpoints
Browse files- README.md +8 -17
- config.json +2 -2
- generation_config.json +1 -1
- model.safetensors +1 -1
- runs/Jun29_09-29-01_1bb9979180df/events.out.tfevents.1719653345.1bb9979180df.65765.0 +3 -0
- runs/Jun29_09-31-53_1bb9979180df/events.out.tfevents.1719653518.1bb9979180df.65765.1 +3 -0
- runs/Jun29_10-09-42_1bb9979180df/events.out.tfevents.1719655788.1bb9979180df.76167.0 +3 -0
- training_args.bin +1 -1
README.md
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tags:
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- generated_from_trainer
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model-index:
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- name:
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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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#
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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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:
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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.
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- Pytorch 2.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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tags:
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- generated_from_trainer
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model-index:
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- name: checkpoints
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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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# checkpoints
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This model was trained from scratch on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 360
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- eval_batch_size: 256
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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: 50
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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 4.42.3
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "/
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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50362
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],
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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{
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"_name_or_path": "/content/new_downloads/checkpoint-127",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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50362
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],
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.42.3"
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}
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model.safetensors
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runs/Jun29_09-29-01_1bb9979180df/events.out.tfevents.1719653345.1bb9979180df.65765.0
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training_args.bin
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