End of training

README.md

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+---
+base_model: Wikidepia/IndoT5-base
+tags:
+- generated_from_trainer
+model-index:
+- name: IndoT5-base-amr-to-text-linearized-penman-ilmy-epochs-3-with-lemma-and-upos-and-voice
+  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. -->
+
+# IndoT5-base-amr-to-text-linearized-penman-ilmy-epochs-3-with-lemma-and-upos-and-voice
+
+This model is a fine-tuned version of [Wikidepia/IndoT5-base](https://huggingface.co/Wikidepia/IndoT5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7899
+
+## 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: 0.0001
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 331  | 0.6963          |
+| 0.4398        | 2.0   | 662  | 0.7256          |
+| 0.4398        | 3.0   | 993  | 0.7899          |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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": "4.32.0"
+}

pytorch_model.bin

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