Training complete.

README.md

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+---
+base_model: google/pegasus-cnn_dailymail
+tags:
+- generated_from_trainer
+datasets:
+- samsum
+model-index:
+- name: pegasus-samsum
+  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. -->
+
+# pegasus-samsum
+
+This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7573
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.0802        | 0.98  | 50   | 1.7573          |
+
+
+### Framework versions
+
+- Transformers 4.36.1
+- Pytorch 2.1.1+cpu
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+  "min_length": 32,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.1"
+}

model.safetensors

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tokenizer.json

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 {
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-    "strategy": "LongestFirst",
-    "stride": 0
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+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

training_args.bin

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