End of training

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- patent-classification
+metrics:
+- accuracy
+base_model: NousResearch/Llama-2-7b-hf
+model-index:
+- name: llama-2-7b-flash-attention2-lora-patent-classification
+  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. -->
+
+# llama-2-7b-flash-attention2-lora-patent-classification
+
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the patent-classification dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5598
+- Accuracy: 0.436
+- Precision Macro: 0.4276
+- Recall Macro: 0.3658
+- F1-score Macro: 0.3707
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1-score Macro |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------:|:--------------:|
+| 1.4059        | 1.0   | 6250  | 1.9046          | 0.3748   | 0.3815          | 0.3173       | 0.3012         |
+| 1.1153        | 2.0   | 12500 | 1.6457          | 0.419    | 0.4162          | 0.3461       | 0.3466         |
+| 1.0234        | 3.0   | 18750 | 1.5598          | 0.436    | 0.4276          | 0.3658       | 0.3707         |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.2.dev0
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "NousResearch/Llama-2-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "k_proj",
+    "gate_proj",
+    "down_proj",
+    "q_proj",
+    "up_proj"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 143329504

training_args.bin

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