End of training

README.md

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+---
+library_name: transformers
+license: bsd-3-clause
+base_model: pszemraj/led-base-book-summary
+tags:
+- generated_from_trainer
+model-index:
+- name: device
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# device
+
+This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/pszemraj/led-base-book-summary) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3904
+- eval_rouge1: 0.7978
+- eval_rouge2: 0.6772
+- eval_rougeL: 0.7545
+- eval_rougeLsum: 0.7544
+- eval_gen_len: 66.6569
+- eval_runtime: 455.2333
+- eval_samples_per_second: 2.408
+- eval_steps_per_second: 0.301
+- epoch: 7.0
+- step: 3836
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

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