Model save

README.md

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+---
+license: mit
+base_model: gpt2-medium
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: gpt2-medium-supervised-summarize-checkpoint
+  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. -->
+
+# gpt2-medium-supervised-summarize-checkpoint
+
+This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7422
+- Rouge1: 0.6035
+- Rouge2: 0.2047
+- Rougel: 0.4141
+- Rougelsum: 0.5319
+
+## 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: 1e-05
+- train_batch_size: 50
+- eval_batch_size: 50
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 1.859         | 0.21  | 500  | 1.8105          | 0.5966 | 0.1961 | 0.4025 | 0.5237    |
+| 1.852         | 0.43  | 1000 | 1.7900          | 0.5994 | 0.1981 | 0.4061 | 0.5271    |
+| 1.8189        | 0.64  | 1500 | 1.7764          | 0.6000 | 0.2005 | 0.4082 | 0.5276    |
+| 1.8191        | 0.86  | 2000 | 1.7695          | 0.6013 | 0.2009 | 0.4096 | 0.5290    |
+| 1.7969        | 1.07  | 2500 | 1.7617          | 0.6038 | 0.2020 | 0.4108 | 0.5311    |
+| 1.7967        | 1.28  | 3000 | 1.7578          | 0.6024 | 0.2024 | 0.4114 | 0.5304    |
+| 1.7813        | 1.5   | 3500 | 1.7520          | 0.6038 | 0.2039 | 0.4128 | 0.5320    |
+| 1.7704        | 1.71  | 4000 | 1.7480          | 0.6033 | 0.2045 | 0.4132 | 0.5310    |
+| 1.7852        | 1.93  | 4500 | 1.7422          | 0.6035 | 0.2047 | 0.4141 | 0.5319    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.35.2"
+}

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runs/Nov24_07-29-37_25b4e49ed269/events.out.tfevents.1700810989.25b4e49ed269.23968.0

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