ShengdingHu
commited on
Commit
·
5374293
1
Parent(s):
783e39d
Training in progress, step 200
Browse files- all_results.json +18 -0
- eval_results.json +8 -0
- pytorch_model.bin +2 -2
- runs/Feb01_01-01-41_node2/1643648613.4983714/events.out.tfevents.1643648613.node2 +3 -0
- runs/Feb01_01-01-41_node2/events.out.tfevents.1643648613.node2 +3 -0
- runs/Jan31_20-32-44_node1/events.out.tfevents.1643632472.node1 +2 -2
- runs/Jan31_20-32-44_node1/events.out.tfevents.1643633161.node1 +3 -0
- test_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +70 -0
- training_args.bin +1 -1
- training_config.json +1 -1
all_results.json
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{
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eval_results.json
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{
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pytorch_model.bin
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runs/Feb01_01-01-41_node2/1643648613.4983714/events.out.tfevents.1643648613.node2
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runs/Jan31_20-32-44_node1/events.out.tfevents.1643632472.node1
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runs/Jan31_20-32-44_node1/events.out.tfevents.1643633161.node1
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test_results.json
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train_results.json
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trainer_state.json
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training_args.bin
CHANGED
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training_config.json
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{"dataset_config_name": ["en"], "delta_type": "
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{"bottleneck_dim": 24, "dataset_config_name": ["en"], "delta_type": "adapter", "do_eval": true, "do_test": true, "do_train": true, "eval_dataset_config_name": ["en"], "eval_dataset_name": "sst2", "eval_steps": 200, "evaluation_strategy": "steps", "greater_is_better": true, "learning_rate": 0.0003, "load_best_model_at_end": true, "max_source_length": 128, "metric_for_best_model": "average_metrics", "model_name_or_path": "../../../../plm_cache/t5-base", "num_train_epochs": 3, "output_dir": "outputs/bitfit/t5-base/sst2", "overwrite_output_dir": true, "per_device_eval_batch_size": 100, "per_device_train_batch_size": 100, "predict_with_generate": true, "push_to_hub": true, "save_steps": 200, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "split_validation_test": true, "task_name": "sst2", "test_dataset_config_name": ["en"], "test_dataset_name": "sst2", "tokenizer_name": "../../../../plm_cache/t5-base", "unfrozen_modules": ["deltas", "layer_norm", "final_layer_norm"], "warmup_steps": 500}
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