xiulinyang commited on
Commit
13f2da9
·
1 Parent(s): 74855ca

Add checkpoint

Browse files
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: DE_200_41
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+ results: []
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+ ---
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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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+ # DE_200_41
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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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+ - Loss: 1.3525
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+ - Accuracy: 0.5875
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0006
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 41
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 10.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.5107 | 1.0 | 2898 | 1.8788 | 0.4432 |
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+ | 0.4165 | 2.0 | 5796 | 1.6591 | 0.5004 |
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+ | 0.3794 | 3.0 | 8694 | 1.5665 | 0.5259 |
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+ | 0.3596 | 4.0 | 11592 | 1.5097 | 0.5398 |
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+ | 0.3466 | 5.0 | 14490 | 1.4665 | 0.5539 |
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+ | 0.3361 | 6.0 | 17388 | 1.4283 | 0.5635 |
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+ | 0.3272 | 7.0 | 20286 | 1.4044 | 0.5709 |
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+ | 0.3196 | 8.0 | 23184 | 1.3859 | 0.5763 |
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+ | 0.3108 | 9.0 | 26082 | 1.3630 | 0.5840 |
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+ | 0.3064 | 10.0 | 28980 | 1.3525 | 0.5875 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.3
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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+ {
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+ "epoch": 10.0,
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+ "eval_accuracy": 0.5875368753103367,
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+ "eval_loss": 1.3525028228759766,
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+ "eval_runtime": 10.2205,
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+ "eval_samples": 670,
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+ "eval_samples_per_second": 65.555,
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+ "eval_steps_per_second": 2.055,
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+ "perplexity": 3.8670920753360716,
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+ "total_flos": 2.422569074688e+17,
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+ "train_samples": 92715,
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+ "train_samples_per_second": 36.968,
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+ "train_steps_per_second": 1.155
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+ }
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+ "perplexity": 3.8670920753360716
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