Model save

README.md

@@ -1,10 +1,64 @@
 ---
-license: apache-2.0
-datasets:
-- knkarthick/dialogsum
-language:
-- en
+license: mit
+base_model: openai-community/gpt2
+tags:
+- generated_from_trainer
 metrics:
 - rouge
-pipeline_tag: text-generation
----
+model-index:
+- name: dialogsum_gpt2
+  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. -->
+
+# dialogsum_gpt2
+
+This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3211
+- Rouge1: 0.4866
+- Rouge2: 0.1609
+- Rougel: 0.3868
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| 2.3713        | 1.0   | 875  | 2.3516          | 0.4821 | 0.1533 | 0.3775 |
+| 2.2024        | 2.0   | 1750 | 2.3249          | 0.4820 | 0.1560 | 0.3806 |
+| 1.988         | 3.0   | 2625 | 2.3211          | 0.4866 | 0.1609 | 0.3868 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.42.4"
+}