End of training

README.md

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+---
+base_model: Wikidepia/IndoT5-base
+tags:
+- generated_from_trainer
+model-index:
+- name: my-random-t5-ft
+  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. -->
+
+# my-random-t5-ft
+
+This model is a fine-tuned version of [Wikidepia/IndoT5-base](https://huggingface.co/Wikidepia/IndoT5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0023
+
+## 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: 5e-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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.1845        | 0.1   | 1629  | 0.0037          |
+| 0.0059        | 0.2   | 3258  | 0.0027          |
+| 0.0048        | 0.3   | 4887  | 0.0026          |
+| 0.003         | 0.4   | 6516  | 0.0028          |
+| 0.0039        | 0.5   | 8145  | 0.0022          |
+| 0.0023        | 0.6   | 9774  | 0.0023          |
+| 0.0024        | 0.7   | 11403 | 0.0019          |
+| 0.0015        | 0.8   | 13032 | 0.0022          |
+| 0.0011        | 0.9   | 14661 | 0.0024          |
+| 0.0018        | 1.0   | 16290 | 0.0023          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.19.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}