Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: gpt22gpt2-gpt2-large-cnn-dailymail-seed42
+  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. -->
+
+# gpt22gpt2-gpt2-large-cnn-dailymail-seed42
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6842
+- Rouge1: 0.3500
+- Rouge2: 0.1477
+- Rougel: 0.2169
+- Rougelsum: 0.3306
+
+## 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: 8
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.6006        | 0.2229 | 2000  | 2.3891          | 0.1904 | 0.0449 | 0.1271 | 0.1782    |
+| 2.1985        | 0.4458 | 4000  | 2.0162          | 0.2608 | 0.0874 | 0.1661 | 0.2452    |
+| 1.9813        | 0.6687 | 6000  | 1.8433          | 0.2390 | 0.0798 | 0.1570 | 0.2267    |
+| 1.8954        | 0.8916 | 8000  | 1.7652          | 0.2694 | 0.0968 | 0.1718 | 0.2533    |
+| 1.5988        | 1.1145 | 10000 | 1.7400          | 0.3181 | 0.1275 | 0.1992 | 0.2998    |
+| 1.5897        | 1.3374 | 12000 | 1.7119          | 0.3292 | 0.1351 | 0.2049 | 0.3107    |
+| 1.5809        | 1.5603 | 14000 | 1.6926          | 0.3452 | 0.1451 | 0.2142 | 0.3262    |
+| 1.575         | 1.7832 | 16000 | 1.6679          | 0.3440 | 0.1452 | 0.2149 | 0.3256    |
+| 1.5302        | 2.0061 | 18000 | 1.6870          | 0.3512 | 0.1486 | 0.2168 | 0.3316    |
+| 1.2726        | 2.2290 | 20000 | 1.7002          | 0.3484 | 0.1460 | 0.2149 | 0.3289    |
+| 1.266         | 2.4519 | 22000 | 1.6969          | 0.3473 | 0.1461 | 0.2154 | 0.3279    |
+| 1.2566        | 2.6748 | 24000 | 1.6878          | 0.3487 | 0.1469 | 0.2160 | 0.3296    |
+| 1.2572        | 2.8977 | 26000 | 1.6842          | 0.3500 | 0.1477 | 0.2169 | 0.3306    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 50256,
+  "decoder_start_token_id": 50256,
+  "early_stopping": true,
+  "eos_token_id": 50256,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "min_length": 56,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 50256,
+  "transformers_version": "4.44.2"
+}