Model save

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-finetuned-cnn_dailymail
+  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-cnn_dailymail
+
+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: 1.5244
+- Rouge1: 23.8806
+- Rouge2: 11.7122
+- Rougel: 20.1043
+- Rougelsum: 22.5041
+- Bleu 1: 3.5889
+- Bleu 2: 2.411
+- Bleu 3: 1.7466
+- Meteor: 11.8919
+- Lungime rezumat: 11.496
+- Lungime original: 46.991
+
+## 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: 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor  | Lungime rezumat | Lungime original |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:---------------:|:----------------:|
+| 2.9989        | 1.0   | 3583  | 1.6617          | 21.745  | 9.6834  | 17.6    | 20.1315   | 3.1902 | 2.0591 | 1.4759 | 10.57   | 11.408          | 46.991           |
+| 1.8552        | 2.0   | 7166  | 1.5640          | 22.5336 | 10.3837 | 18.3609 | 20.9449   | 3.2826 | 2.1341 | 1.5187 | 11.0138 | 11.3677         | 46.991           |
+| 1.7715        | 3.0   | 10749 | 1.5354          | 23.5705 | 11.4281 | 19.7129 | 22.1588   | 3.5276 | 2.3649 | 1.7132 | 11.7397 | 11.4513         | 46.991           |
+| 1.7385        | 4.0   | 14332 | 1.5244          | 23.8806 | 11.7122 | 20.1043 | 22.5041   | 3.5889 | 2.411  | 1.7466 | 11.8919 | 11.496          | 46.991           |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.0"
+}

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