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-small-finetuned-amazon-en-es
+  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-amazon-en-es
+
+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: 2.5259
+- Rouge1: 36.6783
+- Rouge2: 8.5304
+- Rougel: 26.4419
+- Rougelsum: 26.6455
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.833         | 1.0   | 250  | 2.6792          | 31.8471 | 7.6517 | 22.5413 | 22.6222   |
+| 3.5861        | 2.0   | 500  | 2.6408          | 36.8204 | 8.641  | 26.7687 | 26.9114   |
+| 3.411         | 3.0   | 750  | 2.6037          | 36.2502 | 7.9975 | 26.3962 | 26.502    |
+| 3.29          | 4.0   | 1000 | 2.5673          | 36.7784 | 8.4415 | 26.7726 | 26.9248   |
+| 3.2199        | 5.0   | 1250 | 2.5568          | 36.8812 | 8.7419 | 26.7704 | 26.8682   |
+| 3.1628        | 6.0   | 1500 | 2.5280          | 37.1871 | 8.8604 | 26.9372 | 27.0992   |
+| 3.1292        | 7.0   | 1750 | 2.5265          | 36.6801 | 8.5876 | 26.4392 | 26.5908   |
+| 3.1129        | 8.0   | 2000 | 2.5259          | 36.6783 | 8.5304 | 26.4419 | 26.6455   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- 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"
+}

runs/Jun11_01-42-49_a83e38ff432c/events.out.tfevents.1718070514.a83e38ff432c.205.1

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runs/Jun11_01-42-49_a83e38ff432c/events.out.tfevents.1718072206.a83e38ff432c.205.2

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