fuzzing_thesis/test.log at main · peytonr18/fuzzing_thesis · GitHub

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03/15/2023 23:49:44 - WARNING - __main__ -   Process rank: -1, device: cuda, n_gpu: 1, distributed training: False, 16-bits training: False
Some weights of RobertaForSequenceClassification were not initialized from the model checkpoint at ./trained_model/roberta_model and are newly initialized because the shapes did not match:
- classifier.out_proj.weight: found shape torch.Size([2, 768]) in the checkpoint and torch.Size([1, 768]) in the model instantiated
- classifier.out_proj.bias: found shape torch.Size([2]) in the checkpoint and torch.Size([1]) in the model instantiated
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
03/15/2023 23:49:45 - INFO - __main__ -   Training/evaluation parameters Namespace(adam_epsilon=1e-08, block_size=510, cache_dir='./trained_model', config_name='', device=device(type='cuda'), do_eval=True, do_lower_case=False, do_test=True, do_train=False, epoch=5, eval_all_checkpoints=False, eval_batch_size=64, eval_data_file='validate.json', evaluate_during_training=True, fp16=False, fp16_opt_level='O1', gradient_accumulation_steps=1, learning_rate=2e-05, local_rank=-1, logging_steps=50, max_grad_norm=1.0, max_steps=-1, mlm=False, mlm_probability=0.15, model_name_or_path='./trained_model/roberta_model', model_type='roberta', n_gpu=1, no_cuda=False, num_train_epochs=1.0, output_dir='./saved_models', overwrite_cache=False, overwrite_output_dir=False, per_gpu_eval_batch_size=64, per_gpu_train_batch_size=32, save_steps=50, save_total_limit=None, seed=123456, server_ip='', server_port='', start_epoch=0, start_step=0, test_data_file='test.json', tokenizer_name='./trained_model/roberta_model', train_batch_size=32, train_data_file='train.json', warmup_steps=0, weight_decay=0.0)
03/15/2023 23:49:49 - INFO - __main__ -   ***** Running evaluation *****
03/15/2023 23:49:49 - INFO - __main__ -     Num examples = 823
03/15/2023 23:49:49 - INFO - __main__ -     Batch size = 64
03/15/2023 23:49:58 - INFO - __main__ -   ***** Eval results *****
03/15/2023 23:49:58 - INFO - __main__ -     eval_acc = 0.616
03/15/2023 23:49:58 - INFO - __main__ -     eval_loss = 0.6291
03/15/2023 23:50:09 - INFO - __main__ -   ***** Running Test *****
03/15/2023 23:50:09 - INFO - __main__ -     Num examples = 7403
03/15/2023 23:50:09 - INFO - __main__ -     Batch size = 64
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