Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-finetuned-summarize-small
+  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-finetuned-summarize-small
+
+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: nan
+- 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 0.0           | 0.9875  | 79   | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 1.975   | 158  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 2.9625  | 237  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 3.95    | 316  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 4.9375  | 395  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 5.925   | 474  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 6.9125  | 553  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 7.9     | 632  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 8.8875  | 711  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 9.875   | 790  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 10.8625 | 869  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 11.85   | 948  | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 12.8375 | 1027 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 13.825  | 1106 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 14.8125 | 1185 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 15.8    | 1264 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 16.7875 | 1343 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 17.775  | 1422 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 18.7625 | 1501 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0           | 19.75   | 1580 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.1"
+}