End of training

README.md

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+---
+license: bigscience-bloom-rail-1.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: vlsp-2023-vllm/hoa-1b4
+model-index:
+- name: fine_tune_demo_bloom1b4_20May_GPU3090
+  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. -->
+
+# fine_tune_demo_bloom1b4_20May_GPU3090
+
+This model is a fine-tuned version of [vlsp-2023-vllm/hoa-1b4](https://huggingface.co/vlsp-2023-vllm/hoa-1b4) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0586
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1488        | 1.0   | 1826 | 2.1142          |
+| 2.0952        | 2.0   | 3652 | 2.0732          |
+| 2.0733        | 3.0   | 5478 | 2.0586          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 1.13.0+cu117
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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