Training complete

README.md

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+---
+license: mit
+base_model: unicamp-dl/ptt5-base-portuguese-vocab
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: ptt5-base-portuguese-vocab-finetuned-xlsum-pt
+  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. -->
+
+# ptt5-base-portuguese-vocab-finetuned-xlsum-pt
+
+This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0394
+- Rouge1: 17.6273
+- Rouge2: 16.731
+- Rougel: 17.6255
+- Rougelsum: 17.629
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 0.0596        | 1.0   | 125  | 0.0352          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0314        | 2.0   | 250  | 0.0324          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0248        | 3.0   | 375  | 0.0312          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0213        | 4.0   | 500  | 0.0328          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0177        | 5.0   | 625  | 0.0322          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0153        | 6.0   | 750  | 0.0346          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0139        | 7.0   | 875  | 0.0379          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0125        | 8.0   | 1000 | 0.0360          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0113        | 9.0   | 1125 | 0.0372          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+| 0.0112        | 10.0  | 1250 | 0.0394          | 17.6273 | 16.731 | 17.6255 | 17.629    |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

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runs/Feb23_01-22-10_92ee6bb81a5e/events.out.tfevents.1708651330.92ee6bb81a5e.5245.4

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