Training complete

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-xlsum-en-zh
+  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-xlsum-en-zh
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2988
+- Rouge1: 12.7272
+- Rouge2: 2.4338
+- Rougel: 10.5647
+- Rougelsum: 10.5889
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 6.215         | 1.0   | 1000 | 3.5021          | 10.9361 | 1.9845 | 9.1348  | 9.0929    |
+| 4.6051        | 2.0   | 2000 | 3.4190          | 11.6653 | 2.0884 | 9.6847  | 9.7251    |
+| 4.3735        | 3.0   | 3000 | 3.3685          | 12.1941 | 2.2109 | 10.2818 | 10.237    |
+| 4.2439        | 4.0   | 4000 | 3.3417          | 12.6308 | 2.4293 | 10.5036 | 10.5079   |
+| 4.1552        | 5.0   | 5000 | 3.3148          | 12.5122 | 2.2873 | 10.3496 | 10.3545   |
+| 4.0853        | 6.0   | 6000 | 3.3112          | 12.6426 | 2.3154 | 10.5514 | 10.5622   |
+| 4.0508        | 7.0   | 7000 | 3.3048          | 12.843  | 2.3893 | 10.7232 | 10.7357   |
+| 4.0293        | 8.0   | 8000 | 3.2988          | 12.7272 | 2.4338 | 10.5647 | 10.5889   |
+
+
+### 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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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

runs/Nov24_07-59-57_b5c51172d0ef/events.out.tfevents.1700812803.b5c51172d0ef.25424.0

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