xiulinyang commited on
Commit
41032c6
·
1 Parent(s): def9c15

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: TR_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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+ # TR_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: 1.2885
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+ - Accuracy: 0.6093
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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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+ | 0.485 | 1.0 | 2856 | 1.6960 | 0.4942 |
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+ | 0.3846 | 2.0 | 5712 | 1.5430 | 0.5348 |
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+ | 0.3593 | 3.0 | 8568 | 1.4665 | 0.5547 |
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+ | 0.3438 | 4.0 | 11424 | 1.4175 | 0.5707 |
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+ | 0.3341 | 5.0 | 14280 | 1.3928 | 0.5774 |
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+ | 0.3252 | 6.0 | 17136 | 1.3625 | 0.5861 |
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+ | 0.3192 | 7.0 | 19992 | 1.3340 | 0.5943 |
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+ | 0.3112 | 8.0 | 22848 | 1.3175 | 0.5998 |
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+ | 0.3038 | 9.0 | 25704 | 1.3009 | 0.6055 |
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+ | 0.298 | 10.0 | 28560 | 1.2885 | 0.6093 |
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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": 0.6093458532175187,
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+ "eval_loss": 1.288467288017273,
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+ "eval_runtime": 10.2823,
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+ "eval_samples": 684,
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+ "eval_samples_per_second": 66.522,
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+ "eval_steps_per_second": 2.14,
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+ "perplexity": 3.6272228051709097,
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+ "train_samples": 91365,
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+ "train_samples_per_second": 36.844,
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+ "train_steps_per_second": 1.152
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+ }
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+ "perplexity": 3.6272228051709097
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