End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+model-index:
+- name: ntu_adl_summarization_mt5_s
+  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. -->
+
+# ntu_adl_summarization_mt5_s
+
+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: 3.6583
+- Rouge-1: 21.9729
+- Rouge-2: 7.6735
+- Rouge-l: 19.7497
+- Ave Gen Len: 17.3098
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Ave Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-----------:|
+| 5.4447        | 1.0   | 1357  | 4.1235          | 17.7916 | 5.9785  | 16.5599 | 12.7161     |
+| 4.7463        | 2.0   | 2714  | 3.9569          | 19.6608 | 6.7631  | 18.0768 | 14.8245     |
+| 4.5203        | 3.0   | 4071  | 3.8545          | 20.5626 | 7.0737  | 18.7628 | 16.3307     |
+| 4.4285        | 4.0   | 5428  | 3.7825          | 21.0690 | 7.2030  | 19.0863 | 16.7841     |
+| 4.3196        | 5.0   | 6785  | 3.7269          | 21.2881 | 7.3307  | 19.2588 | 16.9276     |
+| 4.2662        | 6.0   | 8142  | 3.7027          | 21.5793 | 7.5122  | 19.4806 | 17.0333     |
+| 4.2057        | 7.0   | 9499  | 3.6764          | 21.7949 | 7.5987  | 19.6082 | 17.1811     |
+| 4.1646        | 8.0   | 10856 | 3.6671          | 21.8164 | 7.5705  | 19.6207 | 17.2550     |
+| 4.1399        | 9.0   | 12213 | 3.6602          | 21.9381 | 7.6577  | 19.7089 | 17.3014     |
+| 4.1479        | 10.0  | 13570 | 3.6583          | 21.9729 | 7.6735  | 19.7497 | 17.3098     |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.1"
+}

pytorch_model.bin

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