End of training
Browse files- README.md +7 -14
- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: distilbert/distilgpt2
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datasets:
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- eli5_category
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model-index:
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# my_awesome_eli5_clm-model
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This model
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 273 | 3.9545 |
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| 3.9544 | 2.0 | 546 | 3.9522 |
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| 3.9544 | 3.0 | 819 | 3.9540 |
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### Framework versions
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- Transformers 4.41.2
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---
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tags:
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- generated_from_trainer
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datasets:
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- eli5_category
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model-index:
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# my_awesome_eli5_clm-model
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This model was trained from scratch on the eli5_category dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.8984
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- eval_runtime: 13.3316
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- eval_samples_per_second: 41.48
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- eval_steps_per_second: 5.251
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- step: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.41.2
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config.json
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{
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"_name_or_path": "
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"_num_labels": 1,
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"activation_function": "gelu_new",
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"architectures": [
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{
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"_name_or_path": "my_awesome_eli5_clm-model",
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"_num_labels": 1,
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"activation_function": "gelu_new",
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"architectures": [
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model.safetensors
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training_args.bin
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