Training complete

README.md

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+---
+license: artistic-2.0
+base_model: KETI-AIR-Downstream/long-ke-t5-base-summarization
+tags:
+- summarization
+- generated_from_trainer
+model-index:
+- name: long_ke_t5_finetuned_wiki_lingua
+  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. -->
+
+# long_ke_t5_finetuned_wiki_lingua
+
+This model is a fine-tuned version of [KETI-AIR-Downstream/long-ke-t5-base-summarization](https://huggingface.co/KETI-AIR-Downstream/long-ke-t5-base-summarization) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2019
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.8606        | 1.0   | 4193  | 3.3498          |
+| 3.4635        | 2.0   | 8386  | 3.2485          |
+| 3.4019        | 3.0   | 12579 | 3.2111          |
+| 3.3802        | 4.0   | 16772 | 3.2019          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

runs/Dec05_01-45-32_7a7f2994fd6f/events.out.tfevents.1701748572.7a7f2994fd6f.175.3

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