Training Complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: news-summarizer-t5
+  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. -->
+
+# news-summarizer-t5
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6177
+- Model Preparation Time: 0.0049
+- Rouge1: 19.8849
+- Rouge2: 17.9939
+- Rougel: 19.5328
+- Rougelsum: 19.5918
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------:|:-------:|:-------:|:---------:|
+| 0.8689        | 1.0   | 251  | 0.6581          | 0.0049                 | 18.8745 | 16.2314 | 18.1991 | 18.3287   |
+| 0.6629        | 2.0   | 502  | 0.6385          | 0.0049                 | 19.3705 | 17.1277 | 18.8685 | 18.9594   |
+| 0.6114        | 3.0   | 753  | 0.6294          | 0.0049                 | 19.3951 | 17.2113 | 18.9315 | 18.9848   |
+| 0.571         | 4.0   | 1004 | 0.6197          | 0.0049                 | 19.8684 | 17.8234 | 19.4646 | 19.5401   |
+| 0.5451        | 5.0   | 1255 | 0.6193          | 0.0049                 | 19.8981 | 17.9851 | 19.5083 | 19.5177   |
+| 0.5194        | 6.0   | 1506 | 0.6203          | 0.0049                 | 19.8675 | 17.9521 | 19.5434 | 19.6046   |
+| 0.4894        | 7.0   | 1757 | 0.6166          | 0.0049                 | 19.8622 | 17.9616 | 19.4791 | 19.5669   |
+| 0.4872        | 8.0   | 2008 | 0.6177          | 0.0049                 | 19.8849 | 17.9939 | 19.5328 | 19.5918   |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.50.0"
+}

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runs/Mar31_15-36-39_8e470de03c02/events.out.tfevents.1743435457.8e470de03c02.749.0

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