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: oLora_500_last_question_wikiqa
+  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. -->
+
+# oLora_500_last_question_wikiqa
+
+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: 0.4840
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4218        | 1.0   | 50   | 0.5076          |
+| 0.5113        | 2.0   | 100  | 0.4840          |
+| 0.4904        | 3.0   | 150  | 0.4863          |
+
+
+### 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 +1,31 @@
+{
+  "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",
+    "dense",
+    "dense_4h_to_h",
+    "dense_h_to_4h"
+  ],
+  "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 sha256:793a827c73621ee4bb1aa8dd405ac1f145f9f59e83936b4c0cd0ae0a0b74a617
+size 25192496

runs/Sep25_03-41-32_ba65b0ded2f9/events.out.tfevents.1727235702.ba65b0ded2f9.36.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdad3b482943f0d4545ff17aa942edfeeeab81a28d829e1d571fd3b2a27aa4b0
+size 37409

runs/Sep25_03-41-32_ba65b0ded2f9/events.out.tfevents.1727235884.ba65b0ded2f9.36.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c5ec1ddc57dd014c07915dee985e7220e454c8c81306667f3c4378a37fd5858
+size 359

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfc4a79543ff4b485d562c07952c6813bb3def9819702f63911e5d8095941757
+size 5240