Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: SwinV2-GPT2_Mimic
+  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. -->
+
+# SwinV2-GPT2_Mimic
+
+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: 0.1623
+- Rouge1: 30.2654
+- Rouge2: 21.4825
+- Rougel: 30.2471
+- Rougelsum: 30.3167
+- Gen Len: 9.0
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 125  | 0.1705          | 30.2654 | 21.4825 | 30.2471 | 30.3167   | 9.0     |
+| No log        | 2.0   | 250  | 0.1623          | 30.2654 | 21.4825 | 30.2471 | 30.3167   | 9.0     |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "max_length": 200,
+  "transformers_version": "4.37.1"
+}