Model save
Browse files- README.md +57 -0
- all_results.json +4 -4
- train_results.json +4 -4
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: maximuspowers/bert-philosophy-adapted
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-philosophy-classifier
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results: []
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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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# bert-philosophy-classifier
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This model is a fine-tuned version of [maximuspowers/bert-philosophy-adapted](https://huggingface.co/maximuspowers/bert-philosophy-adapted) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.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: 100
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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all_results.json
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{
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"epoch": 5.0,
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"total_flos": 0.0,
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"train_loss": 1.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 1.
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}
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{
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"epoch": 5.0,
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"total_flos": 0.0,
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"train_loss": 1.413243408203125,
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"train_runtime": 29.4518,
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"train_samples_per_second": 53.647,
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"train_steps_per_second": 1.698
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}
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 0.0,
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"train_loss": 1.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 1.
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}
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{
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"epoch": 5.0,
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"total_flos": 0.0,
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"train_loss": 1.413243408203125,
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"train_runtime": 29.4518,
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"train_samples_per_second": 53.647,
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"train_steps_per_second": 1.698
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}
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