End of training

README.md

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+---
+base_model: google/pegasus-xsum
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: tidy-tab-model-pegasus-xsum
+  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. -->
+
+# tidy-tab-model-pegasus-xsum
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9644
+- Rouge1: 0.7456
+- Rouge2: 0.6153
+- Rougel: 0.7401
+- Rougelsum: 0.7422
+- Gen Len: 5.2607
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.5893        | 3.7879 | 500  | 1.0234          | 0.7302 | 0.594  | 0.7229 | 0.7244    | 5.3034  |
+| 0.9308        | 7.5758 | 1000 | 0.9644          | 0.7456 | 0.6153 | 0.7401 | 0.7422    | 5.2607  |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "length_penalty": 0.6,
+  "max_length": 64,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}

runs/Jul09_15-57-38_c5eadc05cc54/events.out.tfevents.1720540660.c5eadc05cc54.3138.1

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