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End of training

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README.md ADDED
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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: distilbert/distilgpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: my_awesome_eli5_clm-model
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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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+ # my_awesome_eli5_clm-model
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+
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+ This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.8126
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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: 2e-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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+ - 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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+ - num_epochs: 3
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.9187 | 1.0 | 1313 | 3.8234 |
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+ | 3.8163 | 2.0 | 2626 | 3.8147 |
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+ | 3.7782 | 3.0 | 3939 | 3.8126 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.55.2
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+ - Pytorch 2.6.0
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+ - Datasets 2.2.1
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+ - Tokenizers 0.21.4
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+ "GPT2LMHeadModel"
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+ "bos_token_id": 50256,
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+ "layer_norm_epsilon": 1e-05,
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+ "scale_attn_weights": true,
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+ "summary_activation": null,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.55.2",
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