End of training

README.md

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+---
+base_model: google/pegasus-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: thesis-pegasus-finetuned
+  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. -->
+
+# thesis-pegasus-finetuned
+
+This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2276
+- Rouge1: 37.319
+- Rouge2: 11.685
+- Rougel: 19.9229
+- Rougelsum: 32.5
+- Gen Len: 213.6412
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|:---------:|:--------:|
+| 2.5552        | 1.0   | 500  | 2.2276          | 37.319 | 11.685 | 19.9229 | 32.5      | 213.6412 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": 0.8,
+  "max_length": 256,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}