End of training

README.md

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+---
+license: other
+base_model: yahma/llama-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: V0305P3
+  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. -->
+
+# V0305P3
+
+This model is a fine-tuned version of [yahma/llama-7b-hf](https://huggingface.co/yahma/llama-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0583
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.8125        | 0.09  | 10   | 0.6624          |
+| 0.25          | 0.17  | 20   | 0.1568          |
+| 0.1567        | 0.26  | 30   | 0.1543          |
+| 0.1522        | 0.34  | 40   | 0.1471          |
+| 0.1487        | 0.43  | 50   | 0.1446          |
+| 0.1517        | 0.51  | 60   | 0.1370          |
+| 0.1348        | 0.6   | 70   | 0.1154          |
+| 0.1261        | 0.68  | 80   | 0.1077          |
+| 0.1125        | 0.77  | 90   | 0.0915          |
+| 0.1142        | 0.85  | 100  | 0.0879          |
+| 0.1095        | 0.94  | 110  | 0.0932          |
+| 0.1035        | 1.02  | 120  | 0.0936          |
+| 0.094         | 1.11  | 130  | 0.0874          |
+| 0.0899        | 1.19  | 140  | 0.0800          |
+| 0.0875        | 1.28  | 150  | 0.0835          |
+| 0.0887        | 1.37  | 160  | 0.0783          |
+| 0.0884        | 1.45  | 170  | 0.0791          |
+| 0.0819        | 1.54  | 180  | 0.0745          |
+| 0.0831        | 1.62  | 190  | 0.0685          |
+| 0.0878        | 1.71  | 200  | 0.0681          |
+| 0.0847        | 1.79  | 210  | 0.0680          |
+| 0.0798        | 1.88  | 220  | 0.0646          |
+| 0.0757        | 1.96  | 230  | 0.0680          |
+| 0.0653        | 2.05  | 240  | 0.0663          |
+| 0.0557        | 2.13  | 250  | 0.0678          |
+| 0.052         | 2.22  | 260  | 0.0634          |
+| 0.0517        | 2.3   | 270  | 0.0654          |
+| 0.0576        | 2.39  | 280  | 0.0593          |
+| 0.0573        | 2.47  | 290  | 0.0584          |
+| 0.056         | 2.56  | 300  | 0.0569          |
+| 0.0597        | 2.65  | 310  | 0.0584          |
+| 0.0514        | 2.73  | 320  | 0.0578          |
+| 0.0533        | 2.82  | 330  | 0.0577          |
+| 0.0538        | 2.9   | 340  | 0.0582          |
+| 0.0507        | 2.99  | 350  | 0.0583          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
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+  "adaptive_ratio_decay": 1.0,
+  "auto_mapping": null,
+  "base_model_name_or_path": "yahma/llama-7b-hf",
+  "bias": "none",
+  "dynamic_adapter_pool": true,
+  "enable_lora": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "input_based_adapter_selection": true,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "merge_weights": false,
+  "modules_to_save": null,
+  "number_of_adapter_pre_layer": 8,
+  "ot_diversified_dispatcher": false,
+  "peft_type": "MA_LORA",
+  "pool_selective_inference": true,
+  "pool_selective_training": true,
+  "r": 16,
+  "selective_num": 8,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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model.safetensors

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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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+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
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+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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