Training complete 20240724

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-news_title_generation
+  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. -->
+
+# mt5-small-finetuned-news_title_generation
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8317
+- Rouge1: 38.8271
+- Rouge2: 15.9699
+- Rougel: 37.4629
+- Rougelsum: 37.4611
+
+## 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: 5.6e-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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 2.9375        | 1.0   | 1715  | 2.1953          | 32.8581 | 12.0123 | 31.7428 | 31.7415   |
+| 2.7861        | 2.0   | 3430  | 2.0516          | 34.7374 | 12.8384 | 33.5105 | 33.5139   |
+| 2.5732        | 3.0   | 5145  | 1.9641          | 36.3304 | 14.2331 | 35.0356 | 35.0547   |
+| 2.434         | 4.0   | 6860  | 1.9057          | 36.696  | 14.5408 | 35.4881 | 35.48     |
+| 2.3377        | 5.0   | 8575  | 1.8784          | 37.5708 | 14.9623 | 36.232  | 36.2245   |
+| 2.2665        | 6.0   | 10290 | 1.8506          | 38.0536 | 15.35   | 36.7089 | 36.6998   |
+| 2.2281        | 7.0   | 12005 | 1.8379          | 38.6899 | 16.0013 | 37.3522 | 37.3469   |
+| 2.2025        | 8.0   | 13720 | 1.8317          | 38.8271 | 15.9699 | 37.4629 | 37.4611   |
+
+
+### 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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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

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