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README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: ckpts/llama2-7b-viettel_v3.2_2epoch
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# ckpts/llama2-7b-viettel_v3.2_2epoch
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3727
+
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 24
+- total_eval_batch_size: 6
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4378        | 0.12  | 200  | 0.4331          |
+| 0.4266        | 0.24  | 400  | 0.4187          |
+| 0.4199        | 0.37  | 600  | 0.4086          |
+| 0.4024        | 0.49  | 800  | 0.4016          |
+| 0.4003        | 0.61  | 1000 | 0.3966          |
+| 0.3849        | 0.73  | 1200 | 0.3914          |
+| 0.3814        | 0.86  | 1400 | 0.3865          |
+| 0.3825        | 0.98  | 1600 | 0.3831          |
+| 0.3557        | 1.1   | 1800 | 0.3812          |
+| 0.3531        | 1.22  | 2000 | 0.3789          |
+| 0.3444        | 1.35  | 2200 | 0.3771          |
+| 0.3411        | 1.47  | 2400 | 0.3752          |
+| 0.35          | 1.59  | 2600 | 0.3738          |
+| 0.3586        | 1.71  | 2800 | 0.3733          |
+| 0.349         | 1.84  | 3000 | 0.3728          |
+| 0.357         | 1.96  | 3200 | 0.3727          |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.14.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "o_proj",
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "down_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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added_tokens.json

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+  "<s>": 1,
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+}

config.json

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+  "_name_or_path": "meta-llama/Llama-2-7b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "eos_token_id": 2,
+  "hidden_act": "silu",
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+  "max_position_embeddings": 4096,
+  "model_type": "llama",
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+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
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+  "torch_dtype": "float16",
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

special_tokens_map.json

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+  "pad_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer.model

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+size 499723

tokenizer_config.json

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+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "tokenizer_file": "/homes/quynhle/.cache/huggingface/hub/models--meta-llama--Llama-2-7b-hf/snapshots/6fdf2e60f86ff2481f2241aaee459f85b5b0bbb9/tokenizer.json",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true,
+  "use_fast": true
+}