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-fine-tune
+  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-fine-tune
+
+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: 2.5256
+- Rouge1: 0.0822
+- Rouge2: 0.0244
+- Rougel: 0.0813
+- Rougelsum: 0.0814
+- Gen Len: 18.9803
+- Chrf Score: 20.301
+- Chrf Char Order: 6
+- Chrf Word Order: 0
+- Chrf Beta: 2
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Chrf Score | Chrf Char Order | Chrf Word Order | Chrf Beta |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:----------:|:---------------:|:---------------:|:---------:|
+| 3.5479        | 1.0   | 1951  | 2.7435          | 0.0672 | 0.021  | 0.0666 | 0.0667    | 18.9323 | 19.2495    | 6               | 0               | 2         |
+| 3.1717        | 2.0   | 3902  | 2.6452          | 0.0746 | 0.0207 | 0.0738 | 0.0737    | 18.9814 | 20.1079    | 6               | 0               | 2         |
+| 3.0151        | 3.0   | 5853  | 2.6014          | 0.0834 | 0.0243 | 0.0826 | 0.0823    | 18.9891 | 20.2875    | 6               | 0               | 2         |
+| 2.95          | 4.0   | 7804  | 2.5647          | 0.0765 | 0.0218 | 0.0757 | 0.0757    | 18.981  | 20.2327    | 6               | 0               | 2         |
+| 2.8592        | 5.0   | 9755  | 2.5480          | 0.0822 | 0.0242 | 0.0814 | 0.0813    | 18.9819 | 20.3982    | 6               | 0               | 2         |
+| 2.8214        | 6.0   | 11706 | 2.5317          | 0.0841 | 0.0255 | 0.0831 | 0.083     | 18.9764 | 20.3935    | 6               | 0               | 2         |
+| 2.789         | 7.0   | 13657 | 2.5256          | 0.0822 | 0.0244 | 0.0813 | 0.0814    | 18.9803 | 20.301     | 6               | 0               | 2         |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- 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": "4.33.0"
+}

pytorch_model.bin

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