Training complete

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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0397
+- Rouge1: 16.98
+- Rouge2: 7.8929
+- Rougel: 16.3644
+- Rougelsum: 16.4476
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 7.8974        | 1.0   | 1209 | 3.3189          | 13.3079 | 4.9395 | 12.9401 | 12.9378   |
+| 3.9255        | 2.0   | 2418 | 3.1756          | 16.2829 | 7.8355 | 15.7221 | 15.7776   |
+| 3.5938        | 3.0   | 3627 | 3.1217          | 18.6193 | 9.6297 | 17.7226 | 17.8895   |
+| 3.4294        | 4.0   | 4836 | 3.1036          | 17.6104 | 8.5851 | 16.8473 | 16.8296   |
+| 3.3129        | 5.0   | 6045 | 3.0564          | 15.8986 | 7.3515 | 15.3339 | 15.4281   |
+| 3.2488        | 6.0   | 7254 | 3.0497          | 16.7475 | 7.9259 | 16.0704 | 16.1902   |
+| 3.2162        | 7.0   | 8463 | 3.0390          | 16.6901 | 8.201  | 16.3029 | 16.3853   |
+| 3.1883        | 8.0   | 9672 | 3.0397          | 16.98   | 7.8929 | 16.3644 | 16.4476   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- 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": "4.42.4"
+}

runs/Aug28_05-16-13_5f425d00a78c/events.out.tfevents.1724822189.5f425d00a78c.362.0

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