End of training

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- generated_from_trainer
+datasets:
+- wcep-10
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-amazon-en-es
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wcep-10
+      type: wcep-10
+      config: roberta
+      split: validation
+      args: roberta
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 22.6862
+---
+
+<!-- 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 wcep-10 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1575
+- Rouge1: 22.6862
+- Rouge2: 7.7268
+- Rougel: 19.1961
+- Rougelsum: 19.3808
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 6.5905        | 1.0   | 1020 | 3.4711          | 21.2268 | 7.4345 | 18.5023 | 18.6264   |
+| 4.1604        | 2.0   | 2040 | 3.3228          | 21.6354 | 7.3939 | 18.4926 | 18.6047   |
+| 3.914         | 3.0   | 3060 | 3.2606          | 21.9787 | 7.5818 | 18.6971 | 18.8603   |
+| 3.7698        | 4.0   | 4080 | 3.2058          | 21.8859 | 7.5625 | 18.6413 | 18.8169   |
+| 3.679         | 5.0   | 5100 | 3.1824          | 22.6515 | 7.7467 | 19.1196 | 19.3121   |
+| 3.6131        | 6.0   | 6120 | 3.1678          | 22.0223 | 7.6153 | 18.7956 | 18.9968   |
+| 3.5722        | 7.0   | 7140 | 3.1631          | 22.679  | 7.7952 | 19.1784 | 19.384    |
+| 3.5432        | 8.0   | 8160 | 3.1575          | 22.6862 | 7.7268 | 19.1961 | 19.3808   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- 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": "4.41.2"
+}

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