57 lines
1.4 KiB
JSON
57 lines
1.4 KiB
JSON
{
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"experiment_info": {
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"model_name": "facebook/wav2vec2-large-xlsr-53",
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"model_description": "XLSR-53",
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"dataset_name": "h3llohihi/lao-asr-thesis-dataset",
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"training_date": "2025-06-03 19:11:56",
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"vocab_size": 55,
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"primary_metric": "cer"
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},
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"training_config": {
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"dataset_name": "h3llohihi/lao-asr-thesis-dataset",
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"gradient_accumulation": 1,
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"weight_decay": 0.01,
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"warmup_steps": 400,
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"num_epochs": 15,
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"max_steps": -1,
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"eval_steps": 250,
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"save_steps": 500,
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"logging_steps": 50,
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"early_stopping_patience": 6,
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"dataloader_workers": 8,
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"use_fp16": false,
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"gradient_checkpointing": true,
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"label_smoothing": 0.0,
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"primary_metric": "cer",
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"secondary_metric": "wer",
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"logs_dir": "./logs",
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"model_name": "facebook/wav2vec2-large-xlsr-53",
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"description": "XLSR-53",
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"output_dir": "./lao-asr-xlsr-53",
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"batch_size": 16,
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"learning_rate": 0.0001
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},
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"results": {
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"validation": {
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"cer": 0.16520911038806443,
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"wer": 1.0,
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"loss": 0.48708805441856384
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},
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"test": {
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"cer": 0.16219106723220977,
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"wer": 0.9958333333333333,
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"loss": 0.41934534907341003
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},
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"dev": {
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"cer": 0.10665818490245971,
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"wer": 0.975,
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"loss": 0.1934221088886261
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}
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},
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"training_metrics": {
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"final_loss": 1.7461039689566584,
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"training_time": 12829.0071,
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"samples_per_second": 4.499,
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"total_steps": 0
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}
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} |