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-arxiv-dataset-research-paper
+  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-arxiv-dataset-research-paper
+
+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: 1.5399
+- Rouge1: 54.613
+- Rouge2: 31.1543
+- Rougel: 50.7709
+- Rougelsum: 50.7907
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 3.3244        | 1.0   | 5511  | 1.8904          | 51.0778 | 28.3112 | 47.4136 | 47.404    |
+| 2.2747        | 2.0   | 11022 | 1.7450          | 51.8372 | 28.9814 | 48.0917 | 48.0965   |
+| 2.0745        | 3.0   | 16533 | 1.6567          | 52.518  | 29.7276 | 48.727  | 48.7504   |
+| 1.9516        | 4.0   | 22044 | 1.6210          | 54.2404 | 30.8927 | 50.4042 | 50.3996   |
+| 1.8714        | 5.0   | 27555 | 1.5971          | 53.8556 | 30.6665 | 50.112  | 50.1177   |
+| 1.8112        | 6.0   | 33066 | 1.5649          | 54.179  | 31.0178 | 50.407  | 50.4281   |
+| 1.7644        | 7.0   | 38577 | 1.5605          | 54.3104 | 30.7997 | 50.4555 | 50.4861   |
+| 1.7265        | 8.0   | 44088 | 1.5447          | 54.5593 | 31.0283 | 50.6343 | 50.6605   |
+| 1.7013        | 9.0   | 49599 | 1.5440          | 54.7385 | 31.3073 | 50.9111 | 50.9334   |
+| 1.6864        | 10.0  | 55110 | 1.5399          | 54.613  | 31.1543 | 50.7709 | 50.7907   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1"
+}

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