Hamana0509/gemma-2-2b-it-Vietnamese-Finetuned

README.md

@@ -0,0 +1,71 @@
+---
+base_model: google/gemma-2-2b-it
+library_name: peft
+license: gemma
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs
+  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. -->
+
+# outputs
+
+This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0013
+- Model Preparation Time: 0.0212
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|
+| 1.1766        | 0.2002 | 390  | 1.2098          | 0.0212                 |
+| 1.2063        | 0.4003 | 780  | 1.1293          | 0.0212                 |
+| 1.063         | 0.6005 | 1170 | 1.0843          | 0.0212                 |
+| 1.0623        | 0.8006 | 1560 | 1.0545          | 0.0212                 |
+| 0.9728        | 1.0008 | 1950 | 1.0336          | 0.0212                 |
+| 0.9455        | 1.2009 | 2340 | 1.0228          | 0.0212                 |
+| 1.0184        | 1.4011 | 2730 | 1.0115          | 0.0212                 |
+| 0.9698        | 1.6012 | 3120 | 1.0042          | 0.0212                 |
+| 0.935         | 1.8014 | 3510 | 1.0013          | 0.0212                 |
+
+
+### Framework versions
+
+- PEFT 0.13.1
+- Transformers 4.45.2
+- Pytorch 2.2.1
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/gemma-2-2b-it",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "up_proj",
+    "gate_proj",
+    "k_proj",
+    "o_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f00d38884cd16879d5f4f933c1f79ba881e33f26a1f24aa98f1ee53eb4279f0b
+size 166182480

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a4dba467856c169b325b9de32a2b122cd352592b56f952248c16c5207e96734
+size 5240