Model save

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: xsum-gpt2-long-pegasus
+  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. -->
+
+# xsum-gpt2-long-pegasus
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2524
+- Ppl: 26.6834
+
+## 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: 0.0005
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 22554
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 2000
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Ppl     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 3.7921        | 2.67  | 4000  | 3.6382          | 39.1940 |
+| 3.4486        | 5.34  | 8000  | 3.4164          | 31.3953 |
+| 3.299         | 8.01  | 12000 | 3.3291          | 28.7823 |
+| 3.2019        | 10.68 | 16000 | 3.2769          | 27.3369 |
+| 3.1403        | 13.36 | 20000 | 3.2524          | 26.6834 |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.35.0.dev0"
+}