DazMashaly
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Browse files- README.md +57 -0
- checkpoint-409/config.json +154 -0
- checkpoint-409/generation_config.json +248 -0
- checkpoint-409/model.safetensors +3 -0
- checkpoint-409/optimizer.pt +3 -0
- checkpoint-409/preprocessor_config.json +14 -0
- checkpoint-409/rng_state.pth +3 -0
- checkpoint-409/scheduler.pt +3 -0
- checkpoint-409/trainer_state.json +155 -0
- checkpoint-409/training_args.bin +3 -0
- checkpoint-818/config.json +154 -0
- checkpoint-818/generation_config.json +248 -0
- checkpoint-818/model.safetensors +3 -0
- checkpoint-818/optimizer.pt +3 -0
- checkpoint-818/preprocessor_config.json +14 -0
- checkpoint-818/rng_state.pth +3 -0
- checkpoint-818/scheduler.pt +3 -0
- checkpoint-818/trainer_state.json +277 -0
- checkpoint-818/training_args.bin +3 -0
- config.json +154 -0
- generation_config.json +248 -0
- model.safetensors +3 -0
- preprocessor_config.json +14 -0
- runs/Jun24_04-00-09_8216831c5b7d/events.out.tfevents.1719201634.8216831c5b7d.34.0 +3 -0
- training_args.bin +3 -0
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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checkpoint-409/config.json
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{
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"_name_or_path": "DazMashaly/output",
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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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"architectures": [
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"WhisperForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"classifier_proj_size": 256,
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"d_model": 512,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"decoder_start_token_id": 50257,
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"dropout": 0.0,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 50257,
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"forced_decoder_ids": [
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"mask_feature_length": 10,
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"mask_time_prob": 0.05,
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"max_length": 448,
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"max_source_positions": 1500,
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"max_target_positions": 448,
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"median_filter_width": 7,
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"model_type": "whisper",
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"num_hidden_layers": 6,
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"num_mel_bins": 80,
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"scale_embedding": false,
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}
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checkpoint-409/generation_config.json
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{
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"alignment_heads": [
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|
checkpoint-818/config.json
ADDED
@@ -0,0 +1,154 @@
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1 |
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{
|
2 |
+
"_name_or_path": "DazMashaly/output",
|
3 |
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"activation_dropout": 0.0,
|
4 |
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"activation_function": "gelu",
|
5 |
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"apply_spec_augment": false,
|
6 |
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"architectures": [
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7 |
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"WhisperForConditionalGeneration"
|
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|
17 |
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|
18 |
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|
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|
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|
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|
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|
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|
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|
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"use_weighted_layer_sum": false,
|
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"vocab_size": 51865
|
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}
|
checkpoint-818/generation_config.json
ADDED
@@ -0,0 +1,248 @@
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|
1 |
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{
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