End of training

README.md

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+---
+license: bsd-3-clause
+base_model: pszemraj/led-base-book-summary
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+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:
+- Loss: 1.0247
+- Rouge1: 0.6269
+- Rouge2: 0.3921
+- Rougel: 0.5261
+- Rougelsum: 0.5266
+- Gen Len: 67.5584
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 274  | 1.0933          | 0.5918 | 0.3356 | 0.4785 | 0.4788    | 72.0547 |
+| 1.1731        | 2.0   | 548  | 1.0177          | 0.5985 | 0.3525 | 0.4902 | 0.4906    | 68.5055 |
+| 1.1731        | 3.0   | 822  | 0.9976          | 0.6063 | 0.3603 | 0.4982 | 0.4982    | 69.7263 |
+| 0.7216        | 4.0   | 1096 | 0.9922          | 0.6113 | 0.3735 | 0.5081 | 0.5084    | 68.1861 |
+| 0.7216        | 5.0   | 1370 | 0.9957          | 0.6193 | 0.3826 | 0.5216 | 0.5217    | 65.4617 |
+| 0.5252        | 6.0   | 1644 | 1.0127          | 0.6252 | 0.3877 | 0.5231 | 0.5236    | 68.0584 |
+| 0.5252        | 7.0   | 1918 | 1.0221          | 0.6252 | 0.3897 | 0.5246 | 0.5246    | 67.5931 |
+| 0.4079        | 8.0   | 2192 | 1.0247          | 0.6269 | 0.3921 | 0.5261 | 0.5266    | 67.5584 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "length_penalty": 0.8,
+  "max_length": 1024,
+  "min_length": 8,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "repetition_penalty": 3.5,
+  "transformers_version": "4.42.4"
+}

runs/Jul25_06-38-29_827dd973cfbd/events.out.tfevents.1721889510.827dd973cfbd.467.0

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