baotnguyen/ncis

README.md

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+---
+base_model: mistralai/Mistral-7B-v0.1
+library_name: peft
+license: apache-2.0
+metrics:
+- accuracy
+tags:
+- generated_from_trainer
+model-index:
+- name: ncis
+  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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/phdatdt/huggingface/runs/d3ojqo4j)
+# ncis
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.4991
+- Accuracy: 0.6325
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 19   | 2.5426          | 0.5983   |
+| No log        | 2.0   | 38   | 8.6762          | 0.4444   |
+| No log        | 3.0   | 57   | 0.2207          | 0.9658   |
+| No log        | 4.0   | 76   | 2.1915          | 0.7607   |
+| No log        | 5.0   | 95   | 4.1816          | 0.6496   |
+| No log        | 6.0   | 114  | 4.4624          | 0.6325   |
+| No log        | 7.0   | 133  | 4.4956          | 0.6325   |
+| No log        | 8.0   | 152  | 4.4989          | 0.6325   |
+| No log        | 9.0   | 171  | 4.4991          | 0.6325   |
+| No log        | 10.0  | 190  | 4.4991          | 0.6325   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.4
+- Pytorch 2.1.2
+- Datasets 2.16.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
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+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 8,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj",
+    "o_proj",
+    "k_proj"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Jul15_23-01-54_76588ea398ff/events.out.tfevents.1721084515.76588ea398ff.34.0

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special_tokens_map.json

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+}

tokenizer.model

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tokenizer_config.json

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+  "tokenizer_class": "LlamaTokenizer",
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+}

training_args.bin

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