End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-task2-dataset1
+  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-task2-dataset1
+
+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: 0.3758
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+
+## 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 6.3064        | 1.0   | 500  | 1.0845          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 1.2725        | 2.0   | 1000 | 0.6696          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.841         | 3.0   | 1500 | 0.5226          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.6707        | 4.0   | 2000 | 0.4180          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.5793        | 5.0   | 2500 | 0.3848          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.543         | 6.0   | 3000 | 0.3758          | 0.0    | 0.0    | 0.0    | 0.0       |
+
+
+### 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"
+}

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