Training complete

README.md

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+---
+license: apache-2.0
+base_model: nozagleh/mt5-small-finetuned-icelandic-summary
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-icelandic-summary-finetuned-icelandic-summary
+  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-icelandic-summary-finetuned-icelandic-summary
+
+This model is a fine-tuned version of [nozagleh/mt5-small-finetuned-icelandic-summary](https://huggingface.co/nozagleh/mt5-small-finetuned-icelandic-summary) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0847
+- Rouge1: 24.7758
+- Rouge2: 13.6541
+- Rougel: 22.0304
+- Rougelsum: 22.8727
+
+## 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: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 2.6294        | 1.0   | 2552  | 2.1826          | 23.9594 | 13.1502 | 21.2044 | 22.1031   |
+| 2.5328        | 2.0   | 5104  | 2.1888          | 24.0688 | 13.178  | 21.3606 | 22.1735   |
+| 2.4571        | 3.0   | 7656  | 2.1371          | 24.1003 | 13.3883 | 21.4866 | 22.3277   |
+| 2.4024        | 4.0   | 10208 | 2.1331          | 24.2949 | 13.2282 | 21.5826 | 22.4117   |
+| 2.3513        | 5.0   | 12760 | 2.1198          | 24.1912 | 13.2633 | 21.5876 | 22.3797   |
+| 2.3141        | 6.0   | 15312 | 2.1283          | 24.3672 | 13.2826 | 21.5934 | 22.472    |
+| 2.2853        | 7.0   | 17864 | 2.0878          | 24.5056 | 13.3639 | 21.7807 | 22.6229   |
+| 2.2567        | 8.0   | 20416 | 2.0952          | 24.4647 | 13.428  | 21.7303 | 22.6027   |
+| 2.2373        | 9.0   | 22968 | 2.0908          | 24.5012 | 13.3905 | 21.7448 | 22.6278   |
+| 2.2203        | 10.0  | 25520 | 2.0889          | 24.5345 | 13.4032 | 21.7559 | 22.6362   |
+| 2.2033        | 11.0  | 28072 | 2.0857          | 24.7518 | 13.5923 | 21.9905 | 22.8425   |
+| 2.199         | 12.0  | 30624 | 2.0847          | 24.7758 | 13.6541 | 22.0304 | 22.8727   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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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