Training complete

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- gazeta
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-amazon-en-es
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: gazeta
+      type: gazeta
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 9.9348
+---
+
+<!-- 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-amazon-en-es
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the gazeta dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2573
+- Rouge1: 9.9348
+- Rouge2: 1.4701
+- Rougel: 9.7352
+- Rougelsum: 9.7173
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 5.0727        | 1.0   | 763  | 2.4238          | 9.9038  | 2.2835 | 9.5715  | 9.6056    |
+| 3.4561        | 2.0   | 1526 | 2.3779          | 10.5328 | 2.1668 | 10.297  | 10.2517   |
+| 3.2731        | 3.0   | 2289 | 2.3248          | 11.0603 | 2.3552 | 10.9513 | 10.9458   |
+| 3.1629        | 4.0   | 3052 | 2.2993          | 9.6206  | 1.553  | 9.4704  | 9.4079    |
+| 3.0912        | 5.0   | 3815 | 2.2779          | 9.9379  | 1.5493 | 9.7858  | 9.7129    |
+| 3.0449        | 6.0   | 4578 | 2.2698          | 10.1558 | 1.5231 | 9.947   | 9.8629    |
+| 3.0184        | 7.0   | 5341 | 2.2683          | 9.7056  | 1.5373 | 9.4965  | 9.3964    |
+| 2.9987        | 8.0   | 6104 | 2.2573          | 9.9348  | 1.4701 | 9.7352  | 9.7173    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

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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