t5-news_summarizer

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5_news_summarizer
+  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. -->
+
+# t5_news_summarizer
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8582
+- Rouge1: 0.1413
+- Rouge2: 0.0434
+- Rougel: 0.1086
+- Rougelsum: 0.1086
+- Gen Len: 19.0
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 313  | 2.9257          | 0.1367 | 0.0418 | 0.1043 | 0.1043    | 19.0    |
+| 3.2916        | 2.0   | 626  | 2.8709          | 0.1404 | 0.0428 | 0.1079 | 0.1079    | 19.0    |
+| 3.2916        | 3.0   | 939  | 2.8582          | 0.1413 | 0.0434 | 0.1086 | 0.1086    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

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runs/Apr07_10-02-15_3ef704394263/events.out.tfevents.1712484140.3ef704394263.1228.0

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