Training complete

README.md

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+---
+base_model: google/pegasus-x-large
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- samsum
+metrics:
+- rouge
+model-index:
+- name: pegasus-x-large-finetuned-samsum1000-1
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: validation
+      args: samsum
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 47.1327
+---
+
+<!-- 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. -->
+
+# pegasus-x-large-finetuned-samsum1000-1
+
+This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4703
+- Rouge1: 47.1327
+- Rouge2: 22.7028
+- Rougel: 39.9245
+- Rougelsum: 43.0906
+
+## 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: 5.6e-05
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 1.7687        | 1.0   | 500  | 1.4703          | 47.1327 | 22.7028 | 39.9245 | 43.0906   |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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": 0.8,
+  "max_length": 16384,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.1"
+}

runs/Jan28_19-46-56_9d3cc6358eaa/events.out.tfevents.1706471221.9d3cc6358eaa.2356.0

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