End of training

README.md

@@ -0,0 +1,61 @@
+---
+base_model: vlsp-2023-vllm/hoa-1b4
+library_name: peft
+license: bigscience-bloom-rail-1.0
+tags:
+- generated_from_trainer
+model-index:
+- name: wiki_Olora_hoa1b4_no_para_changes
+  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. -->
+
+# wiki_Olora_hoa1b4_no_para_changes
+
+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: 3.2776
+
+## 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: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.6207        | 1.0   | 8    | 3.3500          |
+| 3.5299        | 2.0   | 16   | 3.2946          |
+| 3.5215        | 3.0   | 24   | 3.2776          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "vlsp-2023-vllm/hoa-1b4",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "olora",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query_key_value"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63ce5f9b65d52fc0499f32b9845d1a3824072f1a8f4e1252ea724826431cd3df
+size 6298512

runs/Aug27_04-20-59_58314e7b1eb9/events.out.tfevents.1724732463.58314e7b1eb9.36.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfb6c87582d3208a0ffab9da035e9c881fde432db3a9679ab1dd8e5c4e8d91ba
+size 11246

runs/Aug27_04-20-59_58314e7b1eb9/events.out.tfevents.1724732596.58314e7b1eb9.36.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d160586df3fa21b8e05b1dc628621be851aa154de822e7e0ce89629be104b6e
+size 354

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d345b85831451a0a5571996c6ea1e8a9ce3eaa5aa17eb9aa23e9c5a956e1aadc
+size 5240