End of training

README.md

@@ -0,0 +1,59 @@
+---
+license: bigscience-bloom-rail-1.0
+base_model: vlsp-2023-vllm/hoa-7b
+tags:
+- generated_from_trainer
+model-index:
+- name: hoa-7b-test-lora
+  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. -->
+
+# hoa-7b-test-lora
+
+This model is a fine-tuned version of [vlsp-2023-vllm/hoa-7b](https://huggingface.co/vlsp-2023-vllm/hoa-7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 12.4488
+
+## 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: 1
+- eval_batch_size: 1
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 12.7539       | 1.0   | 401  | 12.4488         |
+| 12.8935       | 2.0   | 802  | 12.4488         |
+| 12.9284       | 3.0   | 1203 | 12.4488         |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.14.1