Fine tuning with synthetic data and translated. Batch Size = 64, 20 epochs

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-synthetic-data-plus-translated-bs64-ep20
+  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-synthetic-data-plus-translated-bs64-ep20
+
+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: 1.4566
+- Rouge1: 0.2300
+- Rouge2: 0.1163
+- Rougel: 0.2056
+- Rougelsum: 0.2055
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 20.7702       | 1.0   | 19   | 11.1481         | 0.0054 | 0.0019 | 0.0053 | 0.0057    |
+| 14.5169       | 2.0   | 38   | 6.9805          | 0.0043 | 0.0008 | 0.0043 | 0.0043    |
+| 10.9637       | 3.0   | 57   | 5.0126          | 0.0043 | 0.0    | 0.0042 | 0.0038    |
+| 8.5736        | 4.0   | 76   | 3.4889          | 0.0183 | 0.0036 | 0.0164 | 0.0164    |
+| 6.9785        | 5.0   | 95   | 3.1837          | 0.0532 | 0.0068 | 0.0492 | 0.0499    |
+| 5.7159        | 6.0   | 114  | 2.7398          | 0.0134 | 0.0009 | 0.0124 | 0.0127    |
+| 4.7695        | 7.0   | 133  | 2.3907          | 0.0672 | 0.0248 | 0.0563 | 0.0562    |
+| 4.1002        | 8.0   | 152  | 2.1993          | 0.1233 | 0.0514 | 0.1036 | 0.1038    |
+| 3.6707        | 9.0   | 171  | 2.0524          | 0.1737 | 0.0689 | 0.1399 | 0.1411    |
+| 3.3974        | 10.0  | 190  | 1.9375          | 0.2102 | 0.0854 | 0.1730 | 0.1733    |
+| 3.1294        | 11.0  | 209  | 1.8367          | 0.2270 | 0.0974 | 0.1917 | 0.1919    |
+| 3.0166        | 12.0  | 228  | 1.7489          | 0.2263 | 0.1061 | 0.1947 | 0.1956    |
+| 2.7434        | 13.0  | 247  | 1.6770          | 0.2334 | 0.1073 | 0.1991 | 0.1999    |
+| 2.7288        | 14.0  | 266  | 1.6183          | 0.2258 | 0.1057 | 0.1958 | 0.1967    |
+| 2.6084        | 15.0  | 285  | 1.5695          | 0.2264 | 0.1089 | 0.1982 | 0.1986    |
+| 2.5373        | 16.0  | 304  | 1.5259          | 0.2217 | 0.1086 | 0.1960 | 0.1961    |
+| 2.4698        | 17.0  | 323  | 1.4961          | 0.2281 | 0.1124 | 0.2017 | 0.2014    |
+| 2.3932        | 18.0  | 342  | 1.4754          | 0.2316 | 0.1141 | 0.2051 | 0.2048    |
+| 2.375         | 19.0  | 361  | 1.4614          | 0.2281 | 0.1140 | 0.2032 | 0.2030    |
+| 2.3621        | 20.0  | 380  | 1.4566          | 0.2300 | 0.1163 | 0.2056 | 0.2055    |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.1"
+}

runs/Jan25_12-27-15_fd448781588f/events.out.tfevents.1737808328.fd448781588f.14444.1

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