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Training in progress, epoch 1

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: gpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: distilgpt2-CLM-DSM
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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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+ # distilgpt2-CLM-DSM
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4049
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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: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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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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+ | No log | 1.0 | 91 | 2.6265 |
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+ | No log | 2.0 | 182 | 2.5381 |
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+ | No log | 3.0 | 273 | 2.4948 |
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+ | No log | 4.0 | 364 | 2.4634 |
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+ | No log | 5.0 | 455 | 2.4436 |
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+ | 2.6065 | 6.0 | 546 | 2.4276 |
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+ | 2.6065 | 7.0 | 637 | 2.4176 |
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+ | 2.6065 | 8.0 | 728 | 2.4103 |
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+ | 2.6065 | 9.0 | 819 | 2.4061 |
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+ | 2.6065 | 10.0 | 910 | 2.4049 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.2.1
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ ],
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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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+ }
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