Training complete

README.md

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 ---
-license: mit
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-destination-inference
+  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-destination-inference
+
+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: 6.6964
+- 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 22.6841       | 1.0   | 125  | 10.6306         | 0.0703 | 0.0    | 0.0703 | 0.0703    |
+| 15.0485       | 2.0   | 250  | 8.4524          | 0.3398 | 0.0    | 0.3398 | 0.3398    |
+| 11.3726       | 3.0   | 375  | 7.4365          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 8.9705        | 4.0   | 500  | 6.5795          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 7.6846        | 5.0   | 625  | 6.3153          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 6.8562        | 6.0   | 750  | 6.5050          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 6.4222        | 7.0   | 875  | 6.6475          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 6.3944        | 8.0   | 1000 | 6.6964          | 0.0    | 0.0    | 0.0    | 0.0       |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- 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": "4.33.2"
+}